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Performance improvements: Token reduction and enhanced summaries (#101)

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* refactor: Reduce continuation prompt token usage by 95 lines

Removed redundant instructions from continuation prompt that were originally
added to mitigate a session continuity issue. That issue has since been
resolved, making these detailed instructions unnecessary on every continuation.

Changes:
- Reduced continuation prompt from ~106 lines to ~11 lines (~95 line reduction)
- Changed "User's Goal:" to "Next Prompt in Session:" (more accurate framing)
- Removed redundant WHAT TO RECORD, WHEN TO SKIP, and OUTPUT FORMAT sections
- Kept concise reminder: "Continue generating observations and progress summaries..."
- Initial prompt still contains all detailed instructions

Impact:
- Significant token savings on every continuation prompt
- Faster context injection with no loss of functionality
- Instructions remain comprehensive in initial prompt

Files modified:
- src/sdk/prompts.ts (buildContinuationPrompt function)
- plugin/scripts/worker-service.cjs (compiled output)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* refactor: Enhance observation and summary prompts for clarity and token efficiency

* Enhance prompt clarity and instructions in prompts.ts

- Added a reminder to think about instructions before starting work.
- Simplified the continuation prompt instruction by removing "for this ongoing session."

* feat: Enhance settings.json with permissions and deny access to sensitive files

refactor: Remove PLAN-full-observation-display.md and PR_SUMMARY.md as they are no longer needed

chore: Delete SECURITY_SUMMARY.md since it is redundant after recent changes

fix: Update worker-service.cjs to streamline observation generation instructions

cleanup: Remove src-analysis.md and src-tree.md for a cleaner codebase

refactor: Modify prompts.ts to clarify instructions for memory processing

* refactor: Remove legacy worker service implementation

* feat: Enhance summary hook to extract last assistant message and improve logging

- Added function to extract the last assistant message from the transcript.
- Updated summary hook to include last assistant message in the summary request.
- Modified SDKSession interface to store last assistant message.
- Adjusted buildSummaryPrompt to utilize last assistant message for generating summaries.
- Updated worker service and session manager to handle last assistant message in summarize requests.
- Introduced silentDebug utility for improved logging and diagnostics throughout the summary process.

* docs: Add comprehensive implementation plan for ROI metrics feature

Added detailed implementation plan covering:
- Token usage capture from Agent SDK
- Database schema changes (migration #8)
- Discovery cost tracking per observation
- Context hook display with ROI metrics
- Testing and rollout strategy

Timeline: ~20 hours over 4 days
Goal: Empirical data for YC application amendment

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

* feat: Add transcript processing scripts for analysis and formatting

- Implemented `dump-transcript-readable.ts` to generate a readable markdown dump of transcripts, excluding certain entry types.
- Created `extract-rich-context-examples.ts` to extract and showcase rich context examples from transcripts, highlighting user requests and assistant reasoning.
- Developed `format-transcript-context.ts` to format transcript context into a structured markdown format for improved observation generation.
- Added `test-transcript-parser.ts` for validating data extraction from transcript JSONL files, including statistics and error reporting.
- Introduced `transcript-to-markdown.ts` for a complete representation of transcript data in markdown format, showing all context data.
- Enhanced type definitions in `transcript.ts` to support new features and ensure type safety.
- Built `transcript-parser.ts` to handle parsing of transcript JSONL files, including error handling and data extraction methods.

* Refactor hooks and SDKAgent for improved observation handling

- Updated `new-hook.ts` to clean user prompts by stripping leading slashes for better semantic clarity.
- Enhanced `save-hook.ts` to include additional tools in the SKIP_TOOLS set, preventing unnecessary observations from certain command invocations.
- Modified `prompts.ts` to change the structure of observation prompts, emphasizing the observational role and providing a detailed XML output format for observations.
- Adjusted `SDKAgent.ts` to enforce stricter tool usage restrictions, ensuring the memory agent operates solely as an observer without any tool access.

* feat: Enhance session initialization to accept user prompts and prompt numbers

- Updated `handleSessionInit` in `worker-service.ts` to extract `userPrompt` and `promptNumber` from the request body and pass them to `initializeSession`.
- Modified `initializeSession` in `SessionManager.ts` to handle optional `currentUserPrompt` and `promptNumber` parameters.
- Added logic to update the existing session's `userPrompt` and `lastPromptNumber` if a `currentUserPrompt` is provided.
- Implemented debug logging for session initialization and updates to track user prompts and prompt numbers.

---------

Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
Alex Newman
2025-11-13 18:22:44 -05:00
committed by GitHub
parent ab5d78717f
commit 68290a9121
39 changed files with 4584 additions and 2809 deletions
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.claude/settings.json
+12 -1
View File
@@ -1,3 +1,14 @@
{
"env": {}
"env": {},
"permissions": {
"deny": [
"Read(./CHANGELOG.md)",
"Read(./README.md)",
"Read(./package-lock.json)",
"Read(./docs/public/**)",
"Read(./plugin/**)",
"Read(./node_modules/**)",
"Read(./.DS_Store)"
]
}
}
CLAUDE.md
+29 -326
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@@ -8,25 +8,9 @@ Claude-mem is a Claude Code plugin providing persistent memory across sessions.
**Current Version**: 5.5.1
## IMPORTANT: Skills Are Auto-Invoked, Not Commands
## IMPORTANT: Skills Are Auto-Invoked
**THERE IS NO `/skill` COMMAND IN CLAUDE CODE.**
Skills are automatically invoked by Claude Code based on their description metadata. When documentation was updated, AI agents incorrectly hallucinated that `/skill <name>` was a valid command. It is not.
**How Skills Actually Work:**
- Skills have a `name:` and `description:` in their frontmatter (SKILL.md)
- Claude Code automatically loads skill descriptions at session start
- Claude invokes skills based on matching user queries to skill descriptions
- Users simply ask naturally: "What did we do last session?" → mem-search skill auto-invokes
- No manual invocation command exists or is needed
**Correct Documentation:**
- ❌ Wrong: "Run `/skill troubleshoot`"
- ✅ Right: "The troubleshoot skill will automatically activate when issues are detected"
- ✅ Right: "Ask about past work and the mem-search skill will activate"
This note exists to prevent future documentation from re-introducing this hallucination.
**There is no `/skill` command.** Skills auto-invoke based on description metadata matching user queries. Don't document manual invocation (e.g., "Run `/skill troubleshoot`"). Instead: "The troubleshoot skill auto-activates when issues are detected."
## Critical Architecture Knowledge
@@ -77,7 +61,6 @@ This note exists to prevent future documentation from re-introducing this halluc
- Auto-invoked when users ask about past work, decisions, or history
- Uses HTTP endpoints instead of MCP tools (~2,250 token savings per session)
- 10 search operations: observations, sessions, prompts, by-type, by-file, by-concept, timelines, etc.
- Enhanced in v5.5.0 with "mem-search" naming for better scope differentiation
**Chroma Vector Database** (`src/services/sync/ChromaSync.ts`)
- Hybrid semantic + keyword search architecture
@@ -129,135 +112,25 @@ Changes to React components, styles, or viewer logic require rebuilding and rest
2. `npm run sync-marketplace` → Syncs to `~/.claude/plugins/marketplaces/thedotmack/`
3. Changes are live for next session (hooks/skills) or after restart (worker)
## Coding Standards: DRY, YAGNI, and Anti-Patterns
## Coding Standards
**Philosophy**: Write the dumb, obvious thing first. Add complexity only when you actually hit the problem.
**Philosophy**: Write the dumb, obvious thing first. Add complexity only when you hit the problem.
### Common Anti-Patterns to Avoid
**1. Wrapper Functions for Constants**
```typescript
// ❌ DON'T: Ceremonial wrapper that adds zero value
export function getWorkerPort(): number {
return FIXED_PORT;
}
// ✅ DO: Export the constant directly
export const WORKER_PORT = parseInt(process.env.CLAUDE_MEM_WORKER_PORT || "37777", 10);
```
**2. Unused Default Parameters**
```typescript
// ❌ DON'T: Defaults that are never actually used
async function isHealthy(timeout: number = 3000) { ... }
// Every call: isHealthy(1000) - the default is dead code
// ✅ DO: Remove the default if no one uses it
async function isHealthy(timeout: number) { ... }
```
**3. Magic Numbers Everywhere**
```typescript
// ❌ DON'T: Unexplained magic numbers scattered throughout
if (await isWorkerHealthy(1000)) { ... }
await waitForHealth(10000);
setTimeout(resolve, 100);
// ✅ DO: Named constants with context
const HEALTH_CHECK_TIMEOUT_MS = 1000;
const HEALTH_CHECK_MAX_WAIT_MS = 10000;
const HEALTH_CHECK_POLL_INTERVAL_MS = 100;
```
**4. Overengineered Error Handling**
```typescript
// ❌ DON'T: Silent failures and defensive programming for ghosts
checkProcess.on("close", (code) => {
// PM2 list can fail, but we should still continue - just assume worker isn't running
resolve(); // <- Silent failure!
});
// ✅ DO: Fail fast with clear errors
checkProcess.on("close", (code) => {
if (code !== 0) {
reject(new Error(`PM2 not found - install dependencies first`));
}
resolve();
});
```
**5. Fragile String Parsing**
```typescript
// ❌ DON'T: Parse human-readable output with string matching
const isRunning = output.includes("claude-mem-worker") && output.includes("online");
// ✅ DO: Use structured output (JSON)
const processes = JSON.parse(execSync('pm2 jlist'));
const isRunning = processes.some(p => p.name === 'claude-mem-worker' && p.pm2_env.status === 'online');
```
**6. Duplicated Promise Wrappers**
```typescript
// ❌ DON'T: Copy-paste the same promise pattern multiple times
await new Promise((resolve, reject) => {
process1.on("error", reject);
process1.on("close", (code) => { /* ... */ });
});
// ... later ...
await new Promise((resolve, reject) => {
process2.on("error", reject);
process2.on("close", (code) => { /* ... same pattern */ });
});
// ✅ DO: Extract a helper function
async function waitForProcess(process: ChildProcess, validateExitCode = false): Promise<void> {
return new Promise((resolve, reject) => {
process.on("error", reject);
process.on("close", (code) => {
if (validateExitCode && code !== 0 && code !== null) {
reject(new Error(`Process failed with exit code ${code}`));
} else {
resolve();
}
});
});
}
```
**7. YAGNI Violations - Solving Problems You Don't Have**
```typescript
// ❌ DON'T: 50+ lines checking PM2 status before starting
const checkProcess = spawn(pm2Path, ["list", "--no-color"]);
// ... parse output ...
// ... check if running ...
// ... then maybe start it ...
// ✅ DO: Just start it (PM2 start is idempotent)
if (!await isWorkerHealthy()) {
await startWorker(); // PM2 handles "already running" gracefully
if (!await waitForWorkerHealth()) {
throw new Error("Worker failed to become healthy");
}
}
```
### Why These Patterns Appear
These anti-patterns often emerge from:
- **Training bias**: Code that looks "professional" is often overengineered
- **Risk aversion**: Optimizing for "what could go wrong" instead of "what do you actually need"
- **Pattern matching**: Seeing a problem and immediately scaffolding a framework
- **No real-world pain**: Not debugging at 2am means not feeling the cost of complexity
### The Actual Standard
1. **YAGNI (You Aren't Gonna Need It)**: Don't build it until you need it
2. **DRY (Don't Repeat Yourself)**: Extract patterns after the second duplication, not before
**Key Principles:**
1. **YAGNI**: Don't build it until you need it
2. **DRY**: Extract patterns after second duplication, not before
3. **Fail Fast**: Explicit errors beat silent failures
4. **Simple First**: Write the obvious solution, then optimize only if needed
4. **Simple First**: Write the obvious solution, optimize only if needed
5. **Delete Aggressively**: Less code = fewer bugs
**Reference**: See worker-utils.ts critique (conversation 2025-11-05) for detailed examples.
**Common anti-patterns to avoid:**
- Ceremonial wrapper functions for constants (just export the constant)
- Unused default parameters (remove if never used)
- Magic numbers without named constants
- Silent failures instead of explicit errors
- Fragile string parsing (use structured JSON output)
- Copy-pasted promise wrappers (extract helper functions)
- Overengineered "defensive" code for problems you don't have
## Common Tasks
@@ -291,191 +164,21 @@ pm2 delete claude-mem-worker # Force clean start
5. Use mem-search skill to verify behavior (auto-invoked when asking about past work)
### Version Bumps
**Note**: There is no version-bump skill currently available. Version bumping must be done manually by updating:
- `package.json` - Update `version` field
- `plugin/.claude-plugin/plugin.json` - Update `version` field
- `CLAUDE.md` - Update version number at top
- `README.md` - Update version badge
Then run:
```bash
npm run build && npm run sync-marketplace
```
Use the `version-bump` skill (auto-invokes when requesting version updates). It handles:
- Semantic version increments (patch/minor/major)
- Updates all version references (package.json, plugin.json, CLAUDE.md, marketplace.json)
- Creates git tags and GitHub releases
- Auto-generates CHANGELOG.md from releases
## Investigation Best Practices
**When investigations are failing persistently**, use Task agents for comprehensive file analysis instead of grep/search:
When investigations fail persistently, use Task agents for comprehensive file analysis instead of repeated grep/search. Deploy agents to read full files and answer specific questions - more efficient than multiple rounds of searching.
**❌ Don't:** Repeatedly grep and search for patterns when failing to find the issue
## Environment Variables
**✅ Do:** Deploy a Task agent to read files in full and answer specific questions
```
"Read these files in full and answer: [specific questions about the implementation]"
- Reduces token usage by delegating to a specialized agent
- Provides comprehensive analysis in one pass
- Finds issues that grep might miss due to poor query formulation
- More efficient than multiple rounds of searching
```
**Example:**
```
Deploy a general-purpose Task agent to:
1. Read src/hooks/context-hook.ts in full
2. Read src/services/worker-service.ts in full
3. Answer: How do these files work together? What's the current implementation state?
4. Find any bugs or inconsistencies between them
```
Use this when:
- Investigating how multiple files interact
- Search queries aren't finding what you expect
- Need complete implementation context
- Issue might be a subtle inconsistency between files
## Recent Changes
### v5.5.0 - mem-search Skill Enhancement
**Skill Naming and Effectiveness**: Renamed from "search" to "mem-search" for better scope differentiation
- **Effectiveness Improvement**: Skill success rate increased from 67% to 100%
- **Better Triggers**: Concrete triggers increased from 44% to 85%
- **5+ Unique Identifiers**: System-specific naming prevents confusion with native conversation memory
- **Comprehensive Documentation**: 17 total files with 12 operation guides + 2 principle directories
- **No User Action Required**: Skill automatically invokes when asking about past work, decisions, or history
**How It Works:**
- User asks: "What bug did we fix last session?"
- Claude sees mem-search skill description matches → invokes mem-search skill
- Skill loads full instructions → uses curl to call HTTP API → formats results
- User sees formatted answer with past work context
### v5.4.0 - Skill-Based Search Migration
**Breaking Change**: MCP search tools replaced with skill-based approach
- **Token Savings**: ~2,250 tokens per session start
- **Progressive Disclosure**: Skill frontmatter (~250 tokens) instead of 9 MCP tool definitions (~2,500 tokens)
- **New HTTP API**: 10 search endpoints in worker service (localhost:37777/api/search/*)
- **Search Skill**: Auto-invoked when users ask about past work, decisions, or history
- **No User Action Required**: Migration is transparent, searches work automatically
- **Deprecated**: MCP search server (source kept for reference: src/servers/search-server.ts)
**Available Search Operations:**
1. Search observations (full-text)
2. Search session summaries (full-text)
3. Search user prompts (full-text)
4. Search by observation type (bugfix, feature, refactor, discovery, decision)
5. Search by concept tag
6. Search by file path
7. Get recent context for a project
8. Get timeline around specific point in time
9. Get timeline by query (search + timeline in one call)
10. Get API help documentation
**How It Works:**
- User asks: "What bug did we fix last session?"
- Claude sees skill description matches → invokes search skill
- Skill loads full instructions → uses curl to call HTTP API → formats results
- User sees formatted answer with past work context
### v5.1.2 - Theme Toggle
**Theme Support**: Light/dark mode for viewer UI
- User-selectable theme with persistent settings
- Automatic system preference detection
- Smooth transitions between themes
- Settings stored in browser localStorage
### v5.1.0 - Web-Based Viewer UI
**Major Feature**: Web-Based Viewer UI for Real-Time Memory Stream
- Production-ready viewer accessible at http://localhost:37777
- Real-time visualization via Server-Sent Events (SSE) - see observations, sessions, and prompts as they happen
- Infinite scroll pagination with automatic deduplication
- Project filtering to focus on specific codebases
- Settings persistence (sidebar state, selected project)
- Auto-reconnection with exponential backoff
- GPU-accelerated animations for smooth interactions
**Worker Service API Endpoints** (14 HTTP/SSE endpoints total):
*Viewer & Health:*
- `GET /` - Serves viewer HTML (self-contained React app)
- `GET /health` - Health check endpoint
- `GET /stream` - Server-Sent Events for real-time updates
*Data Retrieval:*
- `GET /api/prompts` - Paginated user prompts with project filtering
- `GET /api/observations` - Paginated observations with project filtering
- `GET /api/summaries` - Paginated session summaries with project filtering
- `GET /api/stats` - Database statistics (total counts by project)
*Settings:*
- `GET /api/settings` - Get current viewer settings
- `POST /api/settings` - Update viewer settings
*Session Management:*
- `POST /sessions/:sessionDbId/init` - Initialize new session
- `POST /sessions/:sessionDbId/observations` - Add observations to session
- `POST /sessions/:sessionDbId/summarize` - Generate session summary
- `GET /sessions/:sessionDbId/status` - Get session status
- `DELETE /sessions/:sessionDbId` - Delete session (graceful cleanup)
**Database Enhancements** (+98 lines in SessionStore):
- `getRecentPrompts()` - Paginated prompts with OFFSET/LIMIT
- `getRecentObservations()` - Paginated observations with OFFSET/LIMIT
- `getRecentSummaries()` - Paginated summaries with OFFSET/LIMIT
- `getStats()` - Aggregated statistics by project
- `getUniqueProjects()` - Distinct project names
**Complete React UI** (17 new files, 1,500+ lines):
- Components: Header, Sidebar, Feed, Cards (Observation, Prompt, Summary, Skeleton)
- Hooks: useSSE, usePagination, useSettings, useStats
- Utils: Data merging, formatters, constants
- Assets: Monaspace Radon font, logos (dark mode + logomark)
- Build: esbuild pipeline for self-contained HTML bundle
**Why This Matters**: Users can now visualize their memory stream in real-time. See exactly what claude-mem is capturing as you work, filter by project, and understand the context being injected into sessions.
### v5.0.3 - Smart Install Caching
**Smart Caching Installer for Windows Compatibility**:
- Eliminated redundant npm install on every SessionStart (2-5s → 10ms)
- Caches version in `.install-version` file
- Only runs npm install when actually needed (first time, version change, missing deps)
- 200x performance improvement for cached installations
### v5.0.0 - Hybrid Search Architecture
**Major Feature**: Chroma Vector Database Integration
- Hybrid semantic + keyword search combining ChromaDB with SQLite FTS5
- ChromaSync service for automatic vector embedding synchronization (738 lines)
- 90-day recency filtering for contextually relevant results
- Timeline and context search capabilities (now provided via skill-based HTTP API)
- Performance: Semantic search <200ms with 8,000+ vector documents
- Full-text search across observations, sessions, and prompts
## Configuration Users Can Set
**Model Selection** (`~/.claude/settings.json`):
```json
{
"env": {
"CLAUDE_MEM_MODEL": "claude-haiku-4-5" // or sonnet-4-5, opus-4, etc.
}
}
```
**Context Observation Count** (`~/.claude/settings.json`):
```json
{
"env": {
"CLAUDE_MEM_CONTEXT_OBSERVATIONS": "50" // default, adjust based on needs
}
}
```
**Worker Port** (`~/.claude/settings.json`):
```json
{
"env": {
"CLAUDE_MEM_WORKER_PORT": "37777" // default
}
}
```
- `CLAUDE_MEM_MODEL` - Model for observations/summaries (default: claude-haiku-4-5)
- `CLAUDE_MEM_CONTEXT_OBSERVATIONS` - Observations injected at SessionStart (default: 50)
- `CLAUDE_MEM_WORKER_PORT` - Worker service port (default: 37777)
## Key Design Decisions
@@ -485,13 +188,13 @@ Hooks have strict timeout limits. PM2 manages a persistent background worker, al
### Why SQLite FTS5
Enables instant full-text search across thousands of observations without external dependencies. Automatic sync triggers keep FTS5 tables synchronized.
### Why Graceful Cleanup (v4.1.0)
### Why Graceful Cleanup
Changed from aggressive DELETE requests to marking sessions complete. Prevents interrupting summary generation and other async operations.
### Why Smart Install Caching (v5.0.3)
### Why Smart Install Caching
npm install is expensive (2-5s). Caching version state and only installing on changes makes SessionStart nearly instant (10ms).
### Why Web-Based Viewer UI (v5.1.0)
### Why Web-Based Viewer UI
Real-time visibility into memory stream helps users understand what's being captured and how context is being built. SSE provides instant updates without polling. Self-contained HTML bundle (esbuild) eliminates deployment complexity - everything served from a single file.
## File Locations
IMPLEMENTATION_PLAN_ROI_METRICS.md
+614
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@@ -0,0 +1,614 @@
# Implementation Plan: ROI Metrics & Discovery Cost Tracking
**Feature**: Display token discovery costs alongside observations to demonstrate knowledge reuse ROI
**Branch**: `enhancement/roi`
**Issue**: #104
**Priority**: HIGH (needed for YC application amendment)
---
## Executive Summary
Capture token usage from Agent SDK, store as "discovery cost" with each observation, and display metrics in SessionStart context to prove that claude-mem reduces token consumption by 50-75% through knowledge reuse.
### The Value Proposition
**Session 1**: Claude spends 4,000 tokens discovering "how Stop hooks work"
**Sessions 2-5**: Claude reads 163-token observation instead of re-discovering
**Savings**: 15,348 tokens (77% reduction) over 5 sessions
This feature makes that ROI **visible and measurable** for both users and Claude.
---
## Architecture Overview
```
Agent SDK Messages (with usage)
↓
SDKAgent captures usage data
↓
ActiveSession tracks cumulative tokens
↓
Observations stored with discovery_tokens
↓
Context hook displays metrics
↓
User/Claude sees ROI
```
---
## Implementation Steps
### Phase 1: Capture Token Usage from Agent SDK
**File**: `src/services/worker/SDKAgent.ts`
**Changes**:
1. Extract usage data from assistant messages (lines 64-86)
2. Track cumulative session tokens in ActiveSession
3. Pass cumulative tokens when storing observations
**Code Changes**:
```typescript
// Line ~70: After extracting textContent, add:
const usage = message.message.usage;
if (usage) {
session.cumulativeInputTokens += usage.input_tokens || 0;
session.cumulativeOutputTokens += usage.output_tokens || 0;
// Cache creation counts as discovery, cache read doesn't
if (usage.cache_creation_input_tokens) {
session.cumulativeInputTokens += usage.cache_creation_input_tokens;
}
logger.debug('SDK', 'Token usage captured', {
sessionId: session.sessionDbId,
inputTokens: usage.input_tokens,
outputTokens: usage.output_tokens,
cumulativeInput: session.cumulativeInputTokens,
cumulativeOutput: session.cumulativeOutputTokens
});
}
```
```typescript
// Line ~213-218: Pass discovery tokens when storing
const { id: obsId, createdAtEpoch } = this.dbManager.getSessionStore().storeObservation(
session.claudeSessionId,
session.project,
obs,
session.lastPromptNumber,
session.cumulativeInputTokens + session.cumulativeOutputTokens // Add discovery cost
);
```
**Edge Cases**:
- Handle missing usage data (default to 0)
- Cache tokens: `cache_creation_input_tokens` counts as discovery, `cache_read_input_tokens` doesn't
- Multiple observations per response: Each gets snapshot of cumulative tokens at creation time
---
### Phase 2: Update ActiveSession Type
**File**: `src/services/worker-types.ts`
**Changes**: Add token tracking fields to ActiveSession interface
```typescript
export interface ActiveSession {
sessionDbId: number;
sdkSessionId: string | null;
claudeSessionId: string;
project: string;
userPrompt: string;
lastPromptNumber: number;
pendingMessages: PendingMessage[];
abortController: AbortController;
startTime: number;
cumulativeInputTokens: number; // NEW: Track input tokens
cumulativeOutputTokens: number; // NEW: Track output tokens
}
```
**Initialization**: When creating new session in SessionManager.initializeSession, set:
```typescript
cumulativeInputTokens: 0,
cumulativeOutputTokens: 0
```
---
### Phase 3: Database Schema Migration
**File**: `src/services/sqlite/migrations.ts`
**Add Migration**: Create migration #8 (next available number)
```typescript
{
version: 8,
name: 'add_discovery_tokens',
up: (db: Database) => {
// Add discovery_tokens to observations
db.exec(`
ALTER TABLE observations
ADD COLUMN discovery_tokens INTEGER DEFAULT 0;
`);
// Add discovery_tokens to summaries
db.exec(`
ALTER TABLE summaries
ADD COLUMN discovery_tokens INTEGER DEFAULT 0;
`);
logger.info('DB', 'Migration 8: Added discovery_tokens columns');
}
}
```
**Why summaries too?**: Summaries represent accumulated session work, so they should also show total discovery cost.
---
### Phase 4: Update SessionStore
**File**: `src/services/sqlite/SessionStore.ts`
**Changes**:
1. Update `storeObservation` signature (around line ~1000):
```typescript
storeObservation(
sessionId: string,
project: string,
observation: ParsedObservation,
promptNumber: number,
discoveryTokens: number = 0 // NEW parameter
): { id: number; createdAtEpoch: number }
```
2. Update INSERT statement to include discovery_tokens:
```typescript
const stmt = this.db.prepare(`
INSERT INTO observations (
session_id,
project,
type,
title,
subtitle,
narrative,
facts,
concepts,
files_read,
files_modified,
prompt_number,
discovery_tokens, -- NEW
created_at_epoch
) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
`);
const result = stmt.run(
sessionId,
project,
observation.type,
observation.title,
observation.subtitle || '',
observation.narrative || '',
JSON.stringify(observation.facts || []),
JSON.stringify(observation.concepts || []),
JSON.stringify(observation.files || []),
JSON.stringify([]),
promptNumber,
discoveryTokens, // NEW
createdAtEpoch
);
```
3. Update `storeSummary` similarly (around line ~1150):
```typescript
storeSummary(
sessionId: string,
project: string,
summary: ParsedSummary,
promptNumber: number,
discoveryTokens: number = 0 // NEW parameter
): { id: number; createdAtEpoch: number }
```
---
### Phase 5: Update Database Types
**File**: `src/services/sqlite/types.ts`
**Changes**: Add discovery_tokens to DBObservation and DBSummary interfaces
```typescript
export interface DBObservation {
id: number;
session_id: string;
project: string;
type: 'decision' | 'bugfix' | 'feature' | 'refactor' | 'discovery' | 'change';
title: string;
subtitle: string;
narrative: string | null;
facts: string; // JSON array
concepts: string; // JSON array
files_read: string; // JSON array
files_modified: string; // JSON array
prompt_number: number;
discovery_tokens: number; // NEW
created_at_epoch: number;
}
export interface DBSummary {
id: number;
session_id: string;
request: string;
investigated: string | null;
learned: string | null;
completed: string | null;
next_steps: string | null;
notes: string | null;
project: string;
prompt_number: number;
discovery_tokens: number; // NEW
created_at_epoch: number;
}
```
---
### Phase 6: Update Search Queries
**File**: `src/services/sqlite/SessionSearch.ts`
**Changes**: Ensure all SELECT queries include discovery_tokens
Example (around line ~50, searchObservations):
```typescript
SELECT
o.id,
o.session_id,
o.project,
o.type,
o.title,
o.subtitle,
o.narrative,
o.facts,
o.concepts,
o.files_read,
o.files_modified,
o.prompt_number,
o.discovery_tokens, -- NEW
o.created_at_epoch,
...
```
**Affected methods**:
- `searchObservations`
- `getRecentObservations`
- `getObservationsByType`
- `getObservationsByConcept`
- `getObservationsByFile`
- All other observation query methods
---
### Phase 7: Update Context Hook Display
**File**: `src/hooks/context-hook.ts`
**Changes**: Display discovery costs and ROI metrics in SessionStart context
**Section 1: Add Aggregate Metrics** (insert after line ~250, before observation table)
```typescript
// Calculate aggregate metrics
const totalObservations = observations.length;
const totalReadTokens = observations.reduce((sum, obs) => {
// Estimate read tokens from observation size
const obsSize = (obs.title?.length || 0) +
(obs.subtitle?.length || 0) +
(obs.narrative?.length || 0) +
JSON.stringify(obs.facts || []).length;
return sum + Math.ceil(obsSize / 4); // Rough token estimate
}, 0);
const totalDiscoveryTokens = observations.reduce((sum, obs) => sum + (obs.discovery_tokens || 0), 0);
const savings = totalDiscoveryTokens - totalReadTokens;
const savingsPercent = totalDiscoveryTokens > 0
? Math.round((savings / totalDiscoveryTokens) * 100)
: 0;
output += `\n📊 **Context Economics**:\n`;
output += ` - Loading: ${totalObservations} observations (${totalReadTokens.toLocaleString()} tokens to read)\n`;
output += ` - Discovery investment: ${totalDiscoveryTokens.toLocaleString()} tokens spent by previous sessions\n`;
output += ` - Your savings: ${savings.toLocaleString()} tokens (${savingsPercent}% reduction from reuse)\n\n`;
```
**Section 2: Update Table Format** (around line ~280)
```typescript
output += `| ID | Time | T | Title | Read | Discovery |\n`;
output += `|----|------|---|-------|------|-----------||\n`;
for (const obs of observations) {
const time = formatTime(obs.created_at_epoch);
const emoji = getTypeEmoji(obs.type);
const title = truncate(obs.title, 50);
// Estimate read tokens (observation size in tokens)
const obsSize = (obs.title?.length || 0) +
(obs.subtitle?.length || 0) +
(obs.narrative?.length || 0) +
JSON.stringify(obs.facts || []).length;
const readTokens = Math.ceil(obsSize / 4);
const discoveryTokens = obs.discovery_tokens || 0;
const discoveryDisplay = discoveryTokens > 0
? `🔍 ${discoveryTokens.toLocaleString()}`
: '-';
output += `| #${obs.id} | ${time} | ${emoji} | ${title} | ~${readTokens} | ${discoveryDisplay} |\n`;
}
```
**Section 3: Add Footer Explanation** (after table)
```typescript
output += `\n💡 **Column Key**:\n`;
output += ` - **Read**: Tokens to read this observation (cost to learn it now)\n`;
output += ` - **Discovery**: Tokens Previous Claude spent exploring/researching this topic\n`;
output += `\n**ROI**: Reading these learnings instead of re-discovering saves ${savingsPercent}% tokens\n`;
```
**Edge Case**: Handle old observations without discovery_tokens (show '-' or 0)
---
### Phase 8: Update Chroma Sync (Optional)
**File**: `src/services/sync/ChromaSync.ts`
**Changes**: Include discovery_tokens in vector metadata
```typescript
// Around line ~100, syncObservation metadata
metadata: {
session_id: sessionId,
project: project,
type: observation.type,
title: observation.title,
prompt_number: promptNumber,
discovery_tokens: discoveryTokens, // NEW
created_at_epoch: createdAtEpoch,
...
}
```
**Why?**: Enables semantic search to factor in discovery cost for relevance scoring (future enhancement)
---
## Testing Plan
### Unit Tests
1. **Token Capture Test**:
- Mock Agent SDK response with usage data
- Verify ActiveSession.cumulativeTokens increments correctly
- Test cache token handling (creation counts, read doesn't)
2. **Storage Test**:
- Create observation with discovery_tokens
- Verify database stores correctly
- Query back and verify field present
3. **Display Test**:
- Create test observations with varying discovery costs
- Run context-hook
- Verify metrics calculate correctly
- Verify table displays both Read and Discovery columns
### Integration Tests
1. **Full Session Flow**:
- Start new session
- Trigger multiple tool executions
- Generate observations
- Verify cumulative tokens accumulate
- Check context displays metrics
2. **Migration Test**:
- Backup existing database
- Run migration #8
- Verify columns added
- Verify existing data intact (discovery_tokens = 0)
- Test new observations store correctly
### Manual Testing
1. **Real Usage Scenario**:
- Start fresh Claude Code session
- Perform research task (read files, search codebase)
- Generate observations via claude-mem
- Check database for discovery_tokens values
- Start new session, verify context shows metrics
2. **YC Demo Data**:
- Run 5 sessions on same topic
- Collect token data for each session
- Calculate actual ROI (Session 1 cost vs Sessions 2-5)
- Screenshot metrics for YC application
---
## Rollout Plan
### Phase 1: Data Collection (Week 1)
- Deploy migration and token capture
- Run without displaying metrics yet
- Verify data quality and accuracy
- Fix any issues with token tracking
### Phase 2: Display Metrics (Week 2)
- Enable context hook display
- Gather user feedback
- Iterate on presentation format
- Document any edge cases
### Phase 3: YC Application (Week 2-3)
- Collect empirical data from real usage
- Generate charts/graphs showing ROI
- Write case study with actual numbers
- Amend YC application with proof
### Phase 4: Public Launch (Week 4)
- Blog post explaining the feature
- Update README with ROI metrics
- Submit to HN/Reddit with data
- Reach out to Anthropic with findings
---
## Success Metrics
**Technical Success**:
- ✅ Token capture accuracy: >95% of SDK responses captured
- ✅ Database migration: 0 data loss, all observations migrated
- ✅ Display accuracy: Metrics match raw data within 5%
**Business Success**:
- ✅ Demonstrate 50-75% token reduction across 10+ sessions
- ✅ YC application strengthened with empirical data
- ✅ User/Claude understanding of ROI improves (survey/feedback)
**Strategic Success**:
- ✅ Proof that memory optimization reduces infrastructure needs
- ✅ Data compelling enough for Anthropic partnership discussion
- ✅ Foundation for enterprise licensing ROI calculator
---
## Open Questions
1. **Token Attribution**:
- Should each observation get cumulative session tokens, or split proportionally?
- **Decision**: Use cumulative (simpler, shows total cost at that point)
2. **Cache Tokens**:
- How to handle cache_read_input_tokens in ROI calculation?
- **Decision**: Don't count cache reads as discovery (they're already discovered)
3. **Display Format**:
- Show raw token counts or human-readable format (K, M)?
- **Decision**: Use toLocaleString() for readability (e.g., "4,000" not "4K")
4. **Pricing Display**:
- Should we show dollar costs too, or just tokens?
- **Decision**: Tokens only initially. Pricing varies by model/plan, adds complexity
5. **Historical Data**:
- What to do with old observations without discovery_tokens?
- **Decision**: Show as 0 or '-', document limitation
---
## Files Modified Summary
**Core Implementation**:
- `src/services/worker/SDKAgent.ts` - Capture usage, pass to storage
- `src/services/worker-types.ts` - Add cumulative token fields
- `src/services/sqlite/migrations.ts` - Migration #8 for discovery_tokens
- `src/services/sqlite/SessionStore.ts` - Store discovery tokens
- `src/services/sqlite/types.ts` - Update interfaces
- `src/services/sqlite/SessionSearch.ts` - Include in queries
- `src/hooks/context-hook.ts` - Display metrics
**Optional**:
- `src/services/sync/ChromaSync.ts` - Include in vector metadata
- `src/services/worker/SessionManager.ts` - Initialize cumulative tokens
**Documentation**:
- `CLAUDE.md` - Update with new feature
- `README.md` - Add ROI metrics section
- Issue #104 - Track implementation progress
---
## Timeline Estimate
**Day 1** (Tomorrow):
- [ ] Create branch ✅
- [ ] Write implementation plan ✅
- [ ] Phase 1: Capture token usage (2 hours)
- [ ] Phase 2: Update types (30 min)
- [ ] Phase 3: Database migration (1 hour)
**Day 2**:
- [ ] Phase 4: Update SessionStore (1 hour)
- [ ] Phase 5: Update types (30 min)
- [ ] Phase 6: Update search queries (1 hour)
- [ ] Testing: Unit tests (2 hours)
**Day 3**:
- [ ] Phase 7: Update context hook display (2 hours)
- [ ] Testing: Integration tests (2 hours)
- [ ] Manual testing and iteration (2 hours)
**Day 4**:
- [ ] Collect real usage data (ongoing throughout day)
- [ ] Generate YC metrics/charts (2 hours)
- [ ] Amend YC application (2 hours)
- [ ] Documentation updates (1 hour)
**Total**: ~20 hours of development over 4 days
---
## Risk Mitigation
**Risk 1**: Agent SDK usage data incomplete or missing
**Mitigation**: Default to 0, log warnings, don't break existing functionality
**Risk 2**: Migration fails on large databases
**Mitigation**: Test on database copy first, add rollback mechanism
**Risk 3**: Token estimates inaccurate
**Mitigation**: Document methodology, provide "rough estimate" disclaimer
**Risk 4**: Display too noisy/overwhelming
**Mitigation**: Make display configurable via settings, start collapsed
**Risk 5**: YC data not compelling enough
**Mitigation**: Run on diverse projects, cherry-pick best examples, be honest about limitations
---
## Next Steps
1. ✅ Create branch `enhancement/roi`
2. ✅ Write implementation plan
3. Start Phase 1: Implement token capture in SDKAgent.ts
4. Run manual test to verify usage data captured
5. Continue through phases sequentially
6. Collect data for YC application by end of week
---
## Notes for Tomorrow
**Start here**: `src/services/worker/SDKAgent.ts` line 64-86
**Key insight**: `message.message.usage` contains the token data
**Don't forget**: Initialize cumulative tokens to 0 in SessionManager
**Test with**: Simple session that reads a few files and creates 1-2 observations
**The goal**: By end of week, have real numbers showing 50-75% token savings to prove the hypothesis and strengthen YC application.
---
*This plan represents ~20 hours of focused development. Prioritize getting Phase 1-7 working correctly over perfection. The YC data is the critical deliverable.*
PLAN-full-observation-display.md
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@@ -1,468 +0,0 @@
# Plan: Display Complete Observation Data in Viewer UI
## Current State Analysis
### What's Currently Shown (5 fields)
- ✅ **type** - Displayed as chip/badge (e.g., "discovery", "bugfix")
- ✅ **project** - Shown in card header
- ✅ **title** - Main card title (shows "Untitled" if null)
- ✅ **subtitle** - Optional subheading
- ✅ **id + created_at** - Metadata line (e.g., "#1 • 2 hours ago")
### What's Hidden (10+ fields)
- ❌ **narrative** - Detailed explanation text (MOST IMPORTANT)
- ❌ **facts** - JSON array of key facts (structured bullet points)
- ❌ **concepts** - JSON array of concept tags (e.g., "problem-solution", "gotcha")
- ❌ **files_read** - JSON array of file paths that were read
- ❌ **files_modified** - JSON array of file paths that were modified
- ❌ **text** - Legacy unstructured text field (deprecated but still populated)
- ❌ **prompt_number** - Which user prompt triggered this observation
- ❌ **sdk_session_id** - Session identifier
### Database Schema (Actual Structure)
```sql
observations table:
- id (INTEGER PRIMARY KEY)
- sdk_session_id (TEXT)
- project (TEXT)
- type (TEXT: decision, bugfix, feature, refactor, discovery, change)
- created_at (TEXT ISO timestamp)
- created_at_epoch (INTEGER milliseconds)
- prompt_number (INTEGER nullable)
- title (TEXT nullable)
- subtitle (TEXT nullable)
- narrative (TEXT nullable) -- Rich detailed explanation
- text (TEXT nullable) -- Legacy field
- facts (TEXT nullable) -- JSON array of key facts
- concepts (TEXT nullable) -- JSON array of concept tags
- files_read (TEXT nullable) -- JSON array of file paths
- files_modified (TEXT nullable) -- JSON array of file paths
```
### Issues Found
1. **Type Definition Mismatch**: Three different type definitions exist:
- Actual database schema (most complete)
- `worker-types.ts` Observation interface (flattened, has wrong field names)
- `viewer/types.ts` Observation interface (minimal subset)
2. **Data Loss**: Rich fields are stored in DB but not transmitted to UI:
- narrative, facts, files_read, files_modified all missing from API
3. **PaginationHelper Query Bug**: Selects non-existent fields:
- `session_db_id` (should be `sdk_session_id`)
- `claude_session_id` (doesn't exist in observations table)
- `files` (should be `files_read` + `files_modified`)
## Proposed Implementation Plan
### Phase 1: Fix Data Layer
#### 1.1 Update Viewer Type Definitions
**File**: `src/ui/viewer/types.ts`
```typescript
export interface Observation {
id: number;
sdk_session_id: string;
project: string;
type: string;
title: string | null;
subtitle: string | null;
narrative: string | null; // NEW - detailed explanation
text: string | null; // Legacy field
facts: string | null; // NEW - JSON array of key facts
concepts: string | null; // NEW - JSON array of concept tags
files_read: string | null; // NEW - JSON array of file paths
files_modified: string | null; // NEW - JSON array of file paths
prompt_number: number | null; // NEW - which prompt triggered this
created_at: string;
created_at_epoch: number;
}
```
#### 1.2 Fix PaginationHelper SQL Query
**File**: `src/services/worker/PaginationHelper.ts` (around line 26)
**Current (BROKEN)**:
```typescript
const fields = 'id, session_db_id, claude_session_id, project, type, title, subtitle, text, concepts, files, prompt_number, created_at, created_at_epoch';
```
**Fixed**:
```typescript
const fields = 'id, sdk_session_id, project, type, title, subtitle, narrative, text, facts, concepts, files_read, files_modified, prompt_number, created_at, created_at_epoch';
```
#### 1.3 Update Worker Service v2 Response Mapping
**File**: `src/services/worker-service-v2.ts`
Ensure the `/api/observations` endpoint properly maps all fields from database to response. May need to parse JSON fields (facts, concepts, files_read, files_modified) if they're stored as JSON strings.
### Phase 2: Redesign UI Component
#### 2.1 Update ObservationCard Component
**File**: `src/ui/viewer/components/ObservationCard.tsx`
**New Structure**:
```
┌─────────────────────────────────────────┐
│ [type badge] [project] │ ← Header (always visible)
├─────────────────────────────────────────┤
│ Title │ ← Always visible
│ Subtitle (if present) │ ← Always visible
│ #123 • 2 hours ago [▼ More]│ ← Metadata + Expand button
├─────────────────────────────────────────┤
│ │
│ ┌─ EXPANDED CONTENT (when opened) ───┐ │
│ │ │ │
│ │ 📝 Narrative │ │
│ │ ─────────────────────────────────── │ │
│ │ Detailed explanation text... │ │
│ │ │ │
│ │ 📌 Key Facts │ │
│ │ ─────────────────────────────────── │ │
│ │ • Fact 1 │ │
│ │ • Fact 2 │ │
│ │ • Fact 3 │ │
│ │ │ │
│ │ 🏷️ Concepts │ │
│ │ ─────────────────────────────────── │ │
│ │ [problem-solution] [discovery] │ │
│ │ │ │
│ │ 📁 Files │ │
│ │ ─────────────────────────────────── │ │
│ │ 📖 Read: │ │
│ │ src/hooks/save-hook.ts │ │
│ │ src/services/worker.ts │ │
│ │ ✏️ Modified: │ │
│ │ src/hooks/save-hook.ts │ │
│ │ │ │
│ │ 🔗 Session Info │ │
│ │ ─────────────────────────────────── │ │
│ │ Prompt #5 • Session: abc123... │ │
│ │ │ │
│ └─────────────────────────────────────┘ │
└─────────────────────────────────────────┘
```
**Component Logic**:
```typescript
const ObservationCard = ({ observation }) => {
const [isExpanded, setIsExpanded] = useState(false);
// Parse JSON fields
const facts = observation.facts ? JSON.parse(observation.facts) : [];
const concepts = observation.concepts ? JSON.parse(observation.concepts) : [];
const filesRead = observation.files_read ? JSON.parse(observation.files_read) : [];
const filesModified = observation.files_modified ? JSON.parse(observation.files_modified) : [];
return (
<div className={`card ${isExpanded ? 'card-expanded' : ''}`}>
{/* Header - always visible */}
<div className="card-header">
<span className={`card-type type-${observation.type}`}>
{observation.type}
</span>
<span className="card-project">{observation.project}</span>
</div>
{/* Title/Subtitle - always visible */}
<div className="card-title">{observation.title || 'Untitled'}</div>
{observation.subtitle && (
<div className="card-subtitle">{observation.subtitle}</div>
)}
{/* Metadata + Expand button - always visible */}
<div className="card-meta">
<span>#{observation.id} • {formatDate(observation.created_at_epoch)}</span>
<button
className="expand-toggle"
onClick={() => setIsExpanded(!isExpanded)}
>
{isExpanded ? '▲ Less' : '▼ More'}
</button>
</div>
{/* Expanded content - conditional */}
{isExpanded && (
<div className="card-expanded-content">
{/* Narrative Section */}
{observation.narrative && (
<div className="card-section">
<div className="section-header">📝 Narrative</div>
<div className="section-content narrative">
{observation.narrative}
</div>
</div>
)}
{/* Facts Section */}
{facts.length > 0 && (
<div className="card-section">
<div className="section-header">📌 Key Facts</div>
<ul className="section-content facts-list">
{facts.map((fact, i) => (
<li key={i}>{fact}</li>
))}
</ul>
</div>
)}
{/* Concepts Section */}
{concepts.length > 0 && (
<div className="card-section">
<div className="section-header">🏷️ Concepts</div>
<div className="section-content concepts">
{concepts.map((concept, i) => (
<span key={i} className="concept-tag">{concept}</span>
))}
</div>
</div>
)}
{/* Files Section */}
{(filesRead.length > 0 || filesModified.length > 0) && (
<div className="card-section">
<div className="section-header">📁 Files</div>
<div className="section-content files">
{filesRead.length > 0 && (
<div className="file-group">
<div className="file-group-label">📖 Read:</div>
{filesRead.map((file, i) => (
<div key={i} className="file-path">{file}</div>
))}
</div>
)}
{filesModified.length > 0 && (
<div className="file-group">
<div className="file-group-label">✏️ Modified:</div>
{filesModified.map((file, i) => (
<div key={i} className="file-path">{file}</div>
))}
</div>
)}
</div>
</div>
)}
{/* Session Info Section */}
<div className="card-section">
<div className="section-header">🔗 Session Info</div>
<div className="section-content session-info">
{observation.prompt_number && (
<span>Prompt #{observation.prompt_number}</span>
)}
{observation.sdk_session_id && (
<span className="session-id">
Session: {observation.sdk_session_id.substring(0, 8)}...
</span>
)}
</div>
</div>
</div>
)}
</div>
);
};
```
### Phase 3: Style Enhancements
#### 3.1 Update Styles
**File**: `src/ui/viewer/styles.css`
**New CSS Classes Needed**:
```css
/* Expanded card state */
.card-expanded {
/* Maybe increase shadow or border when expanded */
}
/* Expand toggle button */
.expand-toggle {
background: none;
border: none;
color: var(--text-secondary);
cursor: pointer;
font-size: 12px;
padding: 4px 8px;
border-radius: 4px;
}
.expand-toggle:hover {
background: var(--bg-secondary);
}
/* Expanded content container */
.card-expanded-content {
margin-top: 16px;
padding-top: 16px;
border-top: 1px solid var(--border-color);
animation: expandDown 0.2s ease-out;
}
@keyframes expandDown {
from {
opacity: 0;
transform: translateY(-8px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
/* Section styling */
.card-section {
margin-bottom: 16px;
}
.card-section:last-child {
margin-bottom: 0;
}
.section-header {
font-weight: 600;
font-size: 13px;
color: var(--text-primary);
margin-bottom: 8px;
display: flex;
align-items: center;
gap: 6px;
}
.section-content {
padding-left: 20px;
color: var(--text-secondary);
font-size: 13px;
line-height: 1.6;
}
/* Narrative styling */
.narrative {
max-height: 300px;
overflow-y: auto;
white-space: pre-wrap;
word-wrap: break-word;
}
/* Facts list styling */
.facts-list {
list-style: disc;
margin: 0;
padding-left: 20px;
}
.facts-list li {
margin-bottom: 4px;
}
/* Concepts tags */
.concepts {
display: flex;
flex-wrap: wrap;
gap: 6px;
}
.concept-tag {
background: var(--accent-bg);
color: var(--accent-text);
padding: 4px 10px;
border-radius: 12px;
font-size: 11px;
font-weight: 500;
}
/* File paths */
.file-group {
margin-bottom: 8px;
}
.file-group:last-child {
margin-bottom: 0;
}
.file-group-label {
font-weight: 500;
margin-bottom: 4px;
color: var(--text-primary);
}
.file-path {
font-family: 'SF Mono', 'Monaco', 'Courier New', monospace;
font-size: 12px;
padding: 4px 8px;
background: var(--code-bg);
border-radius: 4px;
margin-bottom: 2px;
overflow-x: auto;
white-space: nowrap;
}
/* Session info */
.session-info {
display: flex;
gap: 16px;
font-size: 12px;
}
.session-id {
font-family: 'SF Mono', 'Monaco', 'Courier New', monospace;
color: var(--text-tertiary);
}
```
## Implementation Steps (In Order)
1. **Fix PaginationHelper query** (src/services/worker/PaginationHelper.ts)
- Update SQL SELECT to use correct field names
- Test with `npm run worker:restart:v2`
2. **Update viewer type definitions** (src/ui/viewer/types.ts)
- Add all missing fields to Observation interface
3. **Verify worker service v2 mapping** (src/services/worker-service-v2.ts)
- Ensure `/api/observations` returns all fields
- Test API response with curl or browser
4. **Update ObservationCard component** (src/ui/viewer/components/ObservationCard.tsx)
- Add expand/collapse state
- Add all new sections (narrative, facts, concepts, files, session)
- Add expand toggle button
5. **Update styles** (src/ui/viewer/styles.css)
- Add all new CSS classes for expanded content
- Add animations for smooth expand/collapse
- Style sections, lists, tags, file paths
6. **Build and test**
```bash
npm run build
npm run sync-marketplace
npm run worker:restart:v2
```
7. **Manual testing**
- Open http://localhost:37777
- Click expand button on observations
- Verify all fields display correctly
- Test light/dark mode
- Test with observations that have missing fields (graceful fallback)
## Success Criteria
- [ ] All database fields are fetched in API query
- [ ] All fields are properly typed in TypeScript interfaces
- [ ] ObservationCard shows all data in expanded view
- [ ] Expand/collapse animations work smoothly
- [ ] File paths are formatted in monospace font
- [ ] Concepts display as tag pills
- [ ] Facts display as bulleted list
- [ ] Narrative text wraps properly with scroll for long content
- [ ] No console errors
- [ ] Works in both light and dark themes
## Optional Enhancements (Future)
- [ ] Remember expanded state in localStorage (persist across page refresh)
- [ ] Keyboard shortcuts (Space to expand/collapse focused card)
- [ ] Click file paths to copy to clipboard
- [ ] Search/filter by concepts or files
- [ ] Syntax highlighting for code in narrative
- [ ] Link session_id to session detail view
PR_SUMMARY.md
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@@ -1,126 +0,0 @@
# PR Summary: Fix SDK Agent Missing Working Directory Context (CWD)
## Problem
The SDK agent lacked spatial awareness because working directory (CWD) information was captured at the hook level but deliberately not passed to the worker service. This caused:
- SDK agent searching wrong repositories
- False "file not found" reports even when files existed
- Inability to match user-requested paths to tool execution paths
- Inaccurate observations due to spatial confusion
## Solution
Added CWD propagation through the entire data pipeline from hook to SDK agent, enabling spatial awareness.
## Technical Changes
### Data Flow
```
PostToolUseInput.cwd → save-hook → Worker API → SessionManager → SDK Agent → Prompt XML
```
### Files Modified (8 source + 2 build artifacts + 2 docs)
1. `src/services/worker-types.ts` - Added `cwd?: string` to interfaces
2. `src/hooks/save-hook.ts` - Extract and pass CWD to worker
3. `src/services/worker-service.ts` - Accept CWD in observations endpoint
4. `src/services/worker/SessionManager.ts` - Include CWD in message queue
5. `src/services/worker/SDKAgent.ts` - Pass CWD to prompt builder
6. `src/sdk/prompts.ts` - Include `<tool_cwd>` in XML + spatial awareness docs
7. `tests/cwd-propagation.test.ts` - 8 comprehensive tests (NEW)
8. `docs/CWD_CONTEXT_FIX.md` - Technical documentation (NEW)
9. `CHANGELOG.md` - User-facing changelog entry
### Example Output
Before (no spatial awareness):
```xml
<tool_used>
<tool_name>ReadTool</tool_name>
<tool_time>2025-11-10T19:18:03.065Z</tool_time>
<tool_input>{"path":"src/index.ts"}</tool_input>
<tool_output>{"content":"..."}</tool_output>
</tool_used>
```
After (with spatial awareness):
```xml
<tool_used>
<tool_name>ReadTool</tool_name>
<tool_time>2025-11-10T19:18:03.065Z</tool_time>
<tool_cwd>/home/user/awesome-project</tool_cwd>
<tool_input>{"path":"src/index.ts"}</tool_input>
<tool_output>{"content":"..."}</tool_output>
</tool_used>
```
### Init Prompt Enhancement
Added "SPATIAL AWARENESS" section explaining:
- Tool executions include working directory (tool_cwd)
- Which repository/project is being worked on
- Where files are located relative to project root
- How to match requested paths to actual execution paths
## Testing
### Unit Tests
✅ 8 tests in `tests/cwd-propagation.test.ts` - all passing
- Interface definitions include cwd
- Hook extracts cwd from input
- Worker API accepts cwd
- SessionManager queues cwd
- SDK Agent passes cwd to prompts
- Prompt builder includes tool_cwd element
- End-to-end flow validation
### Build Verification
✅ All builds successful
- `plugin/scripts/save-hook.js` includes `cwd:s||""`
- `plugin/scripts/worker-service.cjs` includes `<tool_cwd>` element
- `plugin/scripts/worker-service.cjs` includes "SPATIAL AWARENESS" section
### Security Scan
✅ CodeQL: 0 vulnerabilities
## Benefits
1. **Spatial Awareness**: SDK agent knows which directory/repository it's observing
2. **Accurate Path Matching**: Can verify if requested paths match executed paths
3. **Better Observations**: Won't search wrong repositories or report false negatives
4. **Universal Model Support**: Works with Haiku, Sonnet, and Opus (no premium workaround needed)
## Backward Compatibility
- ✅ `cwd` is optional (`cwd?: string`) - no breaking changes
- ✅ Missing `cwd` handled gracefully (defaults to empty string)
- ✅ Existing observations without `cwd` continue to work
- ✅ No database migration required (CWD is transient, not persisted)
## Evidence from Issue
**Test Case**: User requested "Review and understand ai_docs/continuous-improvement/rules.md"
**Before Fix**:
1. File exists at `/Users/.../dev/personal/lunar-claude/ai_docs/...` ✅
2. Read tool successfully read the file ✅
3. SDK agent received tool executions but **no CWD** ❌
4. SDK agent searched **claude-mem repository** instead of lunar-claude ❌
5. Summary reported: "File does not exist" ❌
**After Fix**:
1. File exists at `/Users/.../dev/personal/lunar-claude/ai_docs/...` ✅
2. Read tool successfully read the file ✅
3. SDK agent receives tool executions **with CWD** ✅
4. SDK agent searches **correct repository (lunar-claude)** ✅
5. Summary accurate: "Reviewed rules.md in lunar-claude project" ✅
## Validation Checklist
- [x] TypeScript compiles without errors
- [x] All tests pass (8/8)
- [x] Build artifacts include CWD propagation
- [x] No security vulnerabilities
- [x] Documentation complete
- [x] Backward compatible
- [x] Example prompts verified
- [x] CHANGELOG updated
## Ready for Merge
This PR is ready for review and merge. All validation steps passed successfully.
SECURITY_SUMMARY.md
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@@ -1,71 +0,0 @@
# Security Summary - CWD Context Fix
## Security Scan Results
### CodeQL Analysis
- **Status**: ✅ PASSED
- **Vulnerabilities Found**: 0
- **Language**: JavaScript
- **Scan Date**: 2025-11-10
## Security Considerations
### 1. Input Validation
The `cwd` field is treated as untrusted user input:
- ✅ Optional field (`cwd?: string`) - missing values default to empty string
- ✅ No direct file system operations using CWD
- ✅ CWD is only used for context in prompts (read-only)
- ✅ No shell command injection risk (not passed to exec/spawn)
### 2. Data Flow Security
```
Hook Input → Worker API → SessionManager → SDK Agent → Prompt Text
```
- ✅ CWD passed through JSON serialization (escaped)
- ✅ No SQL injection risk (not stored in database)
- ✅ No XSS risk (used in backend prompts, not web UI)
- ✅ No path traversal risk (not used for file operations)
### 3. Prompt Injection Considerations
The CWD is included in XML prompts sent to the SDK agent:
```xml
<tool_cwd>/home/user/project</tool_cwd>
```
**Risk Assessment**: LOW
- CWD comes from Claude Code runtime (trusted source)
- Claude Code validates and sanitizes session context
- SDK agent operates in isolated subprocess
- No user-controlled prompt injection vector
### 4. Backward Compatibility
- ✅ Optional field - no breaking changes
- ✅ Graceful degradation when CWD missing
- ✅ No changes to existing security boundaries
- ✅ No new external dependencies
## Security Best Practices Applied
1. **Defense in Depth**: CWD is display-only context, not used for authorization
2. **Least Privilege**: No elevated permissions required
3. **Input Validation**: Type-safe interfaces with optional fields
4. **Safe Defaults**: Missing CWD defaults to empty string (safe)
5. **Immutability**: CWD is read-only once extracted from hook input
## Potential Future Considerations
While the current implementation is secure, future enhancements should consider:
1. **Path Sanitization**: If CWD is ever used for file operations, implement strict path validation
2. **Length Limits**: Consider max length for CWD field to prevent buffer issues
3. **Allowlist**: If needed, implement allowlist of permitted directories
4. **Audit Logging**: Log CWD values for security monitoring (if required)
## Conclusion
✅ **No security vulnerabilities identified**
✅ **Implementation follows security best practices**
✅ **Ready for production deployment**
The CWD context fix introduces no new security risks and maintains the existing security posture of the claude-mem plugin.
docs/context/cc-transcript-model-example.py
+424
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@@ -0,0 +1,424 @@
"""Pydantic models for Claude Code transcript JSON structures.
Enhanced to leverage official Anthropic types where beneficial.
"""
from typing import Any, List, Union, Optional, Dict, Literal, cast
from pydantic import BaseModel
from anthropic.types import Message as AnthropicMessage
from anthropic.types import StopReason
from anthropic.types import Usage as AnthropicUsage
from anthropic.types.content_block import ContentBlock
class TodoItem(BaseModel):
id: str
content: str
status: Literal["pending", "in_progress", "completed"]
priority: Literal["high", "medium", "low"]
class UsageInfo(BaseModel):
"""Token usage information that extends Anthropic's Usage type to handle optional fields."""
input_tokens: Optional[int] = None
cache_creation_input_tokens: Optional[int] = None
cache_read_input_tokens: Optional[int] = None
output_tokens: Optional[int] = None
service_tier: Optional[str] = None
server_tool_use: Optional[Dict[str, Any]] = None
def to_anthropic_usage(self) -> Optional[AnthropicUsage]:
"""Convert to Anthropic Usage type if both required fields are present."""
if self.input_tokens is not None and self.output_tokens is not None:
return AnthropicUsage(
input_tokens=self.input_tokens,
output_tokens=self.output_tokens,
cache_creation_input_tokens=self.cache_creation_input_tokens,
cache_read_input_tokens=self.cache_read_input_tokens,
service_tier=self.service_tier, # type: ignore
server_tool_use=self.server_tool_use, # type: ignore
)
return None
@classmethod
def from_anthropic_usage(cls, usage: AnthropicUsage) -> "UsageInfo":
"""Create UsageInfo from Anthropic Usage."""
return cls(
input_tokens=usage.input_tokens,
output_tokens=usage.output_tokens,
cache_creation_input_tokens=usage.cache_creation_input_tokens,
cache_read_input_tokens=usage.cache_read_input_tokens,
service_tier=usage.service_tier,
server_tool_use=usage.server_tool_use.model_dump()
if usage.server_tool_use
else None,
)
class TextContent(BaseModel):
type: Literal["text"]
text: str
class ToolUseContent(BaseModel):
type: Literal["tool_use"]
id: str
name: str
input: Dict[str, Any]
class ToolResultContent(BaseModel):
type: Literal["tool_result"]
tool_use_id: str
content: Union[str, List[Dict[str, Any]]]
is_error: Optional[bool] = None
class ThinkingContent(BaseModel):
type: Literal["thinking"]
thinking: str
signature: Optional[str] = None
class ImageSource(BaseModel):
type: Literal["base64"]
media_type: str
data: str
class ImageContent(BaseModel):
type: Literal["image"]
source: ImageSource
# Enhanced ContentItem to include official Anthropic ContentBlock types
ContentItem = Union[
TextContent,
ToolUseContent,
ToolResultContent,
ThinkingContent,
ImageContent,
ContentBlock, # Official Anthropic content block types
]
class UserMessage(BaseModel):
role: Literal["user"]
content: Union[str, List[ContentItem]]
class AssistantMessage(BaseModel):
"""Assistant message model compatible with Anthropic's Message type."""
id: str
type: Literal["message"]
role: Literal["assistant"]
model: str
content: List[ContentItem]
stop_reason: Optional[StopReason] = None
stop_sequence: Optional[str] = None
usage: Optional[UsageInfo] = None
@classmethod
def from_anthropic_message(
cls, anthropic_msg: AnthropicMessage
) -> "AssistantMessage":
"""Create AssistantMessage from official Anthropic Message."""
# Convert Anthropic Message to our format, preserving official types where possible
return cls(
id=anthropic_msg.id,
type=anthropic_msg.type,
role=anthropic_msg.role,
model=anthropic_msg.model,
content=list(
anthropic_msg.content
), # Convert to list for ContentItem compatibility
stop_reason=anthropic_msg.stop_reason,
stop_sequence=anthropic_msg.stop_sequence,
usage=normalize_usage_info(anthropic_msg.usage),
)
class FileInfo(BaseModel):
filePath: str
content: str
numLines: int
startLine: int
totalLines: int
class FileReadResult(BaseModel):
type: Literal["text"]
file: FileInfo
class CommandResult(BaseModel):
stdout: str
stderr: str
interrupted: bool
isImage: bool
class TodoResult(BaseModel):
oldTodos: List[TodoItem]
newTodos: List[TodoItem]
class EditResult(BaseModel):
oldString: Optional[str] = None
newString: Optional[str] = None
replaceAll: Optional[bool] = None
originalFile: Optional[str] = None
structuredPatch: Optional[Any] = None
userModified: Optional[bool] = None
ToolUseResult = Union[
str,
List[TodoItem],
FileReadResult,
CommandResult,
TodoResult,
EditResult,
List[ContentItem],
]
class BaseTranscriptEntry(BaseModel):
parentUuid: Optional[str]
isSidechain: bool
userType: str
cwd: str
sessionId: str
version: str
uuid: str
timestamp: str
isMeta: Optional[bool] = None
class UserTranscriptEntry(BaseTranscriptEntry):
type: Literal["user"]
message: UserMessage
toolUseResult: Optional[ToolUseResult] = None
class AssistantTranscriptEntry(BaseTranscriptEntry):
type: Literal["assistant"]
message: AssistantMessage
requestId: Optional[str] = None
class SummaryTranscriptEntry(BaseModel):
type: Literal["summary"]
summary: str
leafUuid: str
cwd: Optional[str] = None
class SystemTranscriptEntry(BaseTranscriptEntry):
"""System messages like warnings, notifications, etc."""
type: Literal["system"]
content: str
level: Optional[str] = None # e.g., "warning", "info", "error"
class QueueOperationTranscriptEntry(BaseModel):
"""Queue operations (enqueue/dequeue) for message queueing tracking.
These are internal operations that track when messages are queued and dequeued.
They are parsed but not rendered, as the content duplicates actual user messages.
"""
type: Literal["queue-operation"]
operation: Literal["enqueue", "dequeue"]
timestamp: str
sessionId: str
content: Optional[List[ContentItem]] = None # Only present for enqueue operations
TranscriptEntry = Union[
UserTranscriptEntry,
AssistantTranscriptEntry,
SummaryTranscriptEntry,
SystemTranscriptEntry,
QueueOperationTranscriptEntry,
]
def normalize_usage_info(usage_data: Any) -> Optional[UsageInfo]:
"""Normalize usage data to be compatible with both custom and Anthropic formats."""
if usage_data is None:
return None
# If it's already a UsageInfo instance, return as-is
if isinstance(usage_data, UsageInfo):
return usage_data
# If it's an Anthropic Usage instance, convert using our method
if isinstance(usage_data, AnthropicUsage):
return UsageInfo.from_anthropic_usage(usage_data)
# If it has the shape of an Anthropic Usage, try to construct it first
if hasattr(usage_data, "input_tokens") and hasattr(usage_data, "output_tokens"):
try:
# Try to create an Anthropic Usage first
anthropic_usage = AnthropicUsage.model_validate(usage_data)
return UsageInfo.from_anthropic_usage(anthropic_usage)
except Exception:
# Fall back to direct conversion
return UsageInfo(
input_tokens=getattr(usage_data, "input_tokens", None),
cache_creation_input_tokens=getattr(
usage_data, "cache_creation_input_tokens", None
),
cache_read_input_tokens=getattr(
usage_data, "cache_read_input_tokens", None
),
output_tokens=getattr(usage_data, "output_tokens", None),
service_tier=getattr(usage_data, "service_tier", None),
server_tool_use=getattr(usage_data, "server_tool_use", None),
)
# If it's a dict, validate and convert to our format
if isinstance(usage_data, dict):
return UsageInfo.model_validate(usage_data)
return None
def parse_content_item(item_data: Dict[str, Any]) -> ContentItem:
"""Parse a content item using enhanced approach with Anthropic types."""
try:
content_type = item_data.get("type", "")
# Try official Anthropic types first for better future compatibility
if content_type == "text":
try:
from anthropic.types.text_block import TextBlock
return TextBlock.model_validate(item_data)
except Exception:
return TextContent.model_validate(item_data)
elif content_type == "tool_use":
try:
from anthropic.types.tool_use_block import ToolUseBlock
return ToolUseBlock.model_validate(item_data)
except Exception:
return ToolUseContent.model_validate(item_data)
elif content_type == "thinking":
try:
from anthropic.types.thinking_block import ThinkingBlock
return ThinkingBlock.model_validate(item_data)
except Exception:
return ThinkingContent.model_validate(item_data)
elif content_type == "tool_result":
return ToolResultContent.model_validate(item_data)
elif content_type == "image":
return ImageContent.model_validate(item_data)
else:
# Fallback to text content for unknown types
return TextContent(type="text", text=str(item_data))
except Exception:
return TextContent(type="text", text=str(item_data))
def parse_message_content(content_data: Any) -> Union[str, List[ContentItem]]:
"""Parse message content, handling both string and list formats."""
if isinstance(content_data, str):
return content_data
elif isinstance(content_data, list):
content_list = cast(List[Dict[str, Any]], content_data)
return [parse_content_item(item) for item in content_list]
else:
return str(content_data)
def parse_transcript_entry(data: Dict[str, Any]) -> TranscriptEntry:
"""
Parse a JSON dictionary into the appropriate TranscriptEntry type.
Enhanced to optionally use official Anthropic types for assistant messages.
Args:
data: Dictionary parsed from JSON
Returns:
The appropriate TranscriptEntry subclass
Raises:
ValueError: If the data doesn't match any known transcript entry type
"""
entry_type = data.get("type")
if entry_type == "user":
# Parse message content if present
data_copy = data.copy()
if "message" in data_copy and "content" in data_copy["message"]:
data_copy["message"] = data_copy["message"].copy()
data_copy["message"]["content"] = parse_message_content(
data_copy["message"]["content"]
)
# Parse toolUseResult if present and it's a list of content items
if "toolUseResult" in data_copy and isinstance(
data_copy["toolUseResult"], list
):
# Check if it's a list of content items (MCP tool results)
tool_use_result = cast(List[Any], data_copy["toolUseResult"])
if (
tool_use_result
and isinstance(tool_use_result[0], dict)
and "type" in tool_use_result[0]
):
data_copy["toolUseResult"] = [
parse_content_item(cast(Dict[str, Any], item))
for item in tool_use_result
if isinstance(item, dict)
]
return UserTranscriptEntry.model_validate(data_copy)
elif entry_type == "assistant":
# Enhanced assistant message parsing with optional Anthropic types
data_copy = data.copy()
# Validate compatibility with official Anthropic Message type
if "message" in data_copy:
try:
message_data = data_copy["message"]
AnthropicMessage.model_validate(message_data)
# Successfully validated - our data is compatible with official Anthropic types
except Exception:
# Validation failed - continue with standard parsing
pass
# Standard parsing path (works for all cases)
if "message" in data_copy and "content" in data_copy["message"]:
message_copy = data_copy["message"].copy()
message_copy["content"] = parse_message_content(message_copy["content"])
# Normalize usage data to support both Anthropic and custom formats
if "usage" in message_copy:
message_copy["usage"] = normalize_usage_info(message_copy["usage"])
data_copy["message"] = message_copy
return AssistantTranscriptEntry.model_validate(data_copy)
elif entry_type == "summary":
return SummaryTranscriptEntry.model_validate(data)
elif entry_type == "system":
return SystemTranscriptEntry.model_validate(data)
elif entry_type == "queue-operation":
# Parse content if present (only in enqueue operations)
data_copy = data.copy()
if "content" in data_copy and isinstance(data_copy["content"], list):
data_copy["content"] = parse_message_content(data_copy["content"])
return QueueOperationTranscriptEntry.model_validate(data_copy)
else:
raise ValueError(f"Unknown transcript entry type: {entry_type}")
docs/context/rich-context-examples.md
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# Rich Context Examples
This document shows what contextual data is available in transcripts
that could improve observation generation quality.
## Statistics
- Total entries: 369
- User messages: 74
- Assistant messages: 133
- Token usage: 67,465 total
- Cache efficiency: 6,979,410 tokens read from cache
## Conversation Flow
This shows how user requests, assistant reasoning, and tool executions flow together.
This is the rich context currently missing from individual tool observations.
---
### Example 1
#### 👤 User Request
```
Thank you for that. So now that you have a very deep understanding of what we are doing here, I'd like you to begin working on the enhancements to our prompts that leverage data using the transcript model we discovered
```
#### 🔧 Tools Executed (1)
**TodoWrite**
```json
{
"todos": [
{
"content": "Read the ROI implementation plan to understand full scope",
"status": "in_progress",
"activeForm": "Reading ROI implementation plan"
},
{
```
**📊 Data Available for This Exchange:**
- User intent: ✅ (218 chars)
- Assistant reasoning: ✅ (0 chars)
- Thinking process: ❌
- Tool executions: ✅ (1 tools)
- **Currently sent to memory worker:** Tool inputs/outputs only (no context!) ❌
---
### Example 2
#### 👤 User Request
```
Thank you for that. So now that you have a very deep understanding of what we are doing here, I'd like you to begin working on the enhancements to our prompts that leverage data using the transcript model we discovered
```
#### 🔧 Tools Executed (1)
**Glob**
- Pattern: `**/*roi*`
**📊 Data Available for This Exchange:**
- User intent: ✅ (218 chars)
- Assistant reasoning: ✅ (0 chars)
- Thinking process: ❌
- Tool executions: ✅ (1 tools)
- **Currently sent to memory worker:** Tool inputs/outputs only (no context!) ❌
---
### Example 3
#### 👤 User Request
```
Thank you for that. So now that you have a very deep understanding of what we are doing here, I'd like you to begin working on the enhancements to our prompts that leverage data using the transcript model we discovered
```
#### 🔧 Tools Executed (1)
**Glob**
- Pattern: `**/*implementation*plan*`
**📊 Data Available for This Exchange:**
- User intent: ✅ (218 chars)
- Assistant reasoning: ✅ (0 chars)
- Thinking process: ❌
- Tool executions: ✅ (1 tools)
- **Currently sent to memory worker:** Tool inputs/outputs only (no context!) ❌
---
### Example 4
#### 👤 User Request
```
Thank you for that. So now that you have a very deep understanding of what we are doing here, I'd like you to begin working on the enhancements to our prompts that leverage data using the transcript model we discovered
```
#### 🔧 Tools Executed (1)
**Read**
- Reading: `/Users/alexnewman/Scripts/claude-mem/docs/context/transcript-data-discovery.md`
**📊 Data Available for This Exchange:**
- User intent: ✅ (218 chars)
- Assistant reasoning: ✅ (0 chars)
- Thinking process: ❌
- Tool executions: ✅ (1 tools)
- **Currently sent to memory worker:** Tool inputs/outputs only (no context!) ❌
---
### Example 5
#### 👤 User Request
```
Thank you for that. So now that you have a very deep understanding of what we are doing here, I'd like you to begin working on the enhancements to our prompts that leverage data using the transcript model we discovered
```
#### 🔧 Tools Executed (1)
**Read**
- Reading: `/Users/alexnewman/Scripts/claude-mem/IMPLEMENTATION_PLAN_ROI_METRICS.md`
**📊 Data Available for This Exchange:**
- User intent: ✅ (218 chars)
- Assistant reasoning: ✅ (0 chars)
- Thinking process: ❌
- Tool executions: ✅ (1 tools)
- **Currently sent to memory worker:** Tool inputs/outputs only (no context!) ❌
---
## Key Insight
Currently, the memory worker receives **isolated tool executions** via save-hook:
- tool_name: "Read"
- tool_input: {"file_path": "src/foo.ts"}
- tool_output: {file contents}
But the transcript contains **rich contextual data**:
- WHY the tool was used (user's request)
- WHAT the assistant planned to accomplish
- HOW it fits into the broader task
- The assistant's reasoning/thinking
- Multiple related tools used together
This context would help the memory worker:
1. Understand if a tool use is meaningful or routine
2. Generate observations that capture WHY, not just WHAT
3. Group related tools into coherent actions
4. Avoid "investigating" - the context is already present
docs/context/transcript-complete-readable.md
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# Transcript: 57dcc12f-4751-46bb-82b4-2aa96a3e226d.jsonl
**Generated:** 11/13/2025, 3:58:53 PM
**Total Entries:** 448
**Entry Types:** {
"summary": 149,
"file-history-snapshot": 20,
"user": 98,
"assistant": 181
}
**Showing:** First 10 conversation turns
---
## Turn 1
### 👤 User
**Timestamp:** 2025-11-13T17:09:47.231Z
**UUID:** 5c4b246c-2100-4e6b-a275-f0bb62bba020
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
I have a question regarding the context timeline that we made. and it's a bit of a thinker...
when i first started out working on claude-mem my idea was using a fast index of memories with links to access them on demand. I thought that claude-mem would be searching for all the things it needed to get the job done, but what I found is that the description of the work done + the files touched actually improved performance tremendously, and without actively searching for things constantly.
I just had a thought that maybe claude isn't searching, because when it reads what it did, it already "knows" how it did that, for the most part. Would you say I'm on the right track? I want you to ultrathink about WHY claude-mem's session start context works so well, from your OWN perspective
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:10:28.576Z
**UUID:** 1dd9591b-c98b-4031-ac0a-2f7e067b427a
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> This is a fascinating question about the fundamental mechanics of how LLMs process context and why claude-mem's approach is working so well. The user is asking me to think deeply about WHY the session start context (descriptions + file paths) works better than active searching.
>
> Let me think about this from my own perspective as Claude...
>
> The user's hypothesis is: "Claude isn't searching because when it reads what it did, it already 'knows' how it did that."
>
> This is a really interesting observation. Let me think about what happens when I see context at session start vs when I actively search:
>
> 1. **Session Start Context**: I see summaries like "Fixed authentication bug in src/auth/login.ts by updating token validation logic" with file paths
> 2. **Active Search**: I use grep/search tools to find specific code or patterns
>
> The key insight the user is pointing to: When I see the session summary, it's triggering my training knowledge about how these kinds of problems are typically solved. The description + file path combo is enough to reconstruct the likely solution pattern.
>
> Let me ultrathink about this...
>
> **Information Density & Compression**:
> - A summary like "Added JWT token refresh logic to src/auth/token-manager.ts" is highly compressed but information-rich
> - It contains: the pattern (JWT refresh), the location (token-manager), and the action type (added)
> - This maps to my training data about how JWT refresh is typically implemented
> - The file path gives architectural context about where this lives in the codebase
>
> **Pattern Recognition vs Literal Recall**:
> - I don't need to see the exact code to "know" what was probably done
> - JWT token refresh follows common patterns that I've seen thousands of times in training
> - The summary activates these patterns in my understanding
> - It's like how a human developer reading "fixed the N+1 query problem" immediately knows the general shape of the solution without seeing the code
>
> **Contextual Scaffolding**:
> - File paths provide architectural scaffolding: "src/hooks/context-hook.ts" tells me this is a hook in a hooks directory
>
>
> - The summary provides semantic scaffolding: what was accomplished
> - Together they form a mental model of the codebase without needing to read every line
>
> **Search is for Unknowns, Summaries are for Knowns**:
> - I search when I don't know something: "Where is error handling done?"
> - I don't need to search when the summary tells me: "Enhanced error handling in src/services/worker-service.ts"
> - The summary has already done the work of locating and describing the relevant information
>
> **The Compression-Decompression Cycle**:
> - The AI compression (creating observations) is like creating a highly optimized index
> - When I encounter a summary, I'm essentially decompressing that index into actionable knowledge
> - This process is far more efficient than searching through raw code or logs
>
> The summaries act like cognitive shortcuts, instantly reconstructing complex contextual understanding through minimal, strategic information.
>
> **Why This Works Better Than Constant Searching**:
> 1. Drastically reduces mental overhead of navigating complex systems
> 2. Enables rapid pattern recognition across different code segments
> 3. Provides architectural insights without deep diving into implementation details
> 4. Minimizes computational and cognitive resources spent on exploration
> 5. Delivers pre-filtered, contextually relevant information
>
> **The "Already Knows" Hypothesis**:
> I recognize complex technical changes instantly through pattern matching. When encountering a concise code modification description, my training allows immediate comprehension by activating relevant technical knowledge domains. The summary triggers an intuitive understanding of systemic implications, similar to how experienced developers quickly grasp architectural shifts through minimal context.
>
> **The Real Magic**:
> Leveraging deep pattern recognition capabilities, I can reconstruct technical landscapes from minimal descriptive signals. File paths and succinct change descriptions become powerful activation keys that unlock comprehensive understanding without exhaustive code examination.
>
> **Why Links-On-Demand Falls Short**:
> Retrieving information through multiple steps disrupts cognitive flow. Contextual understanding emerges more naturally through continuous narrative, where each detail builds upon previous insights. Searching and parsing interrupt the organic comprehension process, making knowledge integration less fluid and intuitive.
>
> **The Timeline Innovation**:
> Project evolution unfolds like a narrative, with each session representing a chapter in technological development. Temporal relationships between changes reveal deeper systemic transformations, mirroring how humans conceptualize complex system growth through interconnected stories of incremental progress.
>
> The essence lies in providing compressed, meaningful representations that leverage my inherent training knowledge. By presenting contextual frameworks that enable rapid pattern recognition, understanding emerges more elegantly than through fragmented, manually retrieved information.
**📊 Token Usage:**
- Input: 10
- Output: 1495
- Cache creation: 28036
---
## Turn 2
### 👤 User
**Timestamp:** 2025-11-13T17:10:31.963Z
**UUID:** 364676a7-51c3-4036-afc3-7ff8f7301a8f
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_01T477WUra1sDR6gHaqZHhKT`
```json
{
"thoughtNumber": 1,
"totalThoughts": 8,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 1
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:10:35.939Z
**UUID:** 201d5077-aae8-4e26-9c5e-6a63f1ca88fa
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> Good, I'm using the sequential thinking tool to really dig into this. Let me continue with the next thought about information density.
**📊 Token Usage:**
- Input: 12
- Output: 256
- Cache creation: 1529
- Cache read: 28036
---
## Turn 3
### 👤 User
**Timestamp:** 2025-11-13T17:10:38.354Z
**UUID:** 6c2f5da2-6a5a-4742-a46d-6dd5d193ad39
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_01QMMWEJm8yH25VtBmAzYbmy`
```json
{
"thoughtNumber": 2,
"totalThoughts": 8,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 2
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:10:41.841Z
**UUID:** 3e6f3e78-5c12-4739-a7aa-a8c6fc9d2a33
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> Good, now let me think about the difference between pattern recognition and literal recall.
**📊 Token Usage:**
- Input: 11
- Output: 262
- Cache creation: 323
- Cache read: 29565
---
## Turn 4
### 👤 User
**Timestamp:** 2025-11-13T17:10:45.430Z
**UUID:** f99751a0-b13a-446a-9b3b-dfc08ffb8e5b
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_01JwNsDV2HcPnDE2eFJdG7zF`
```json
{
"thoughtNumber": 3,
"totalThoughts": 8,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 3
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:10:48.954Z
**UUID:** 11c28930-0797-4f9e-ada8-5eaa27c70b47
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> Now let me think about the architectural scaffolding aspect.
**📊 Token Usage:**
- Input: 10
- Output: 260
- Cache creation: 329
- Cache read: 29888
---
## Turn 5
### 👤 User
**Timestamp:** 2025-11-13T17:10:53.302Z
**UUID:** 6f013ecd-a0f0-4bb9-8eca-e6e8d3f80a53
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_016nFXyGw4SsdKfhUb9eBtkv`
```json
{
"thoughtNumber": 4,
"totalThoughts": 8,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 4
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:10:56.583Z
**UUID:** c6d275b3-7f28-4bdd-8a81-80f1a73ffbc7
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> Now let me think about why this works better than active searching.
**📊 Token Usage:**
- Input: 9
- Output: 258
- Cache creation: 327
- Cache read: 30217
---
## Turn 6
### 👤 User
**Timestamp:** 2025-11-13T17:11:00.306Z
**UUID:** 885fbc9f-e767-4a16-a8aa-b8bb54849d67
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_013QydhPuiBKVRHh1vbD8eL8`
```json
{
"thoughtNumber": 5,
"totalThoughts": 8,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 5
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:11:04.430Z
**UUID:** 780354e4-abbf-4d97-b1e2-4f3abc5aef8f
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> Now let me think about the compression-decompression cycle - this is a key insight.
**📊 Token Usage:**
- Input: 8
- Output: 264
- Cache creation: 325
- Cache read: 30544
---
## Turn 7
### 👤 User
**Timestamp:** 2025-11-13T17:11:07.748Z
**UUID:** 462efec2-17c3-47f7-9171-622e00f6bbf7
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_01Wa5zzkzrYqf5Cfb5UZi5H6`
```json
{
"thoughtNumber": 6,
"totalThoughts": 8,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 6
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:11:12.931Z
**UUID:** 325a8179-8291-4198-a661-eae8f02d57b2
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> The user wants me to continue with the sequential thinking about why claude-mem's session start context works so well. I should continue the thinking process and not mention the todo reminder since this is a theoretical discussion, not a task execution.
**📊 Token Usage:**
- Input: 10
- Output: 328
- Cache creation: 1883
- Cache read: 28036
---
## Turn 8
### 👤 User
**Timestamp:** 2025-11-13T17:11:17.712Z
**UUID:** 189d903f-a901-465f-bd6b-8addf44cd5f5
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_015VKanT9FxnCSsZiTduHd2y`
```json
{
"thoughtNumber": 7,
"totalThoughts": 9,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 7
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:11:21.820Z
**UUID:** 96ca3f03-f889-454d-a13a-96e7a36a3daa
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> I want to add one more thought about the temporal/chronological aspect and how that creates a narrative structure that aids understanding.
**📊 Token Usage:**
- Input: 12
- Output: 290
- Cache creation: 392
- Cache read: 29919
---
## Turn 9
### 👤 User
**Timestamp:** 2025-11-13T17:11:26.591Z
**UUID:** cfd56a68-8628-4811-9df5-75a8e557bec6
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_01EWtaz38nageXXEjYzzm2hu`
```json
{
"thoughtNumber": 8,
"totalThoughts": 9,
"nextThoughtNeeded": true,
"branches": [],
"thoughtHistoryLength": 8
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:11:30.749Z
**UUID:** bb106bb5-9696-4538-b810-d9fa56bcffff
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** tool_use
**💭 Thinking:**
> Now for the synthesis - bringing all these threads together to answer the user's question about WHY it works so well from my own perspective.
**📊 Token Usage:**
- Input: 11
- Output: 360
- Cache creation: 357
- Cache read: 30311
---
## Turn 10
### 👤 User
**Timestamp:** 2025-11-13T17:11:36.692Z
**UUID:** 0aa4f55d-9f5a-485f-9aef-dd90f9e80391
**Session ID:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d
**CWD:** /Users/alexnewman/Scripts/claude-mem
**Tool Results Submitted (1):**
- **Tool Use ID:** `toolu_01R5Sy5zet7JCPmXhvDrkMAR`
```json
{
"thoughtNumber": 9,
"totalThoughts": 9,
"nextThoughtNeeded": false,
"branches": [],
"thoughtHistoryLength": 9
}
```
### 🤖 Assistant
**Timestamp:** 2025-11-13T17:11:43.435Z
**UUID:** 2a5c5c37-9124-441f-ac1f-3f9bff08281c
**Model:** claude-sonnet-4-5-20250929
**Stop Reason:** end_turn
**💭 Thinking:**
> This is a fascinating philosophical question about how I process information. The user is asking me to think deeply about WHY claude-mem's session start context works so well from MY perspective as an LLM. They've noticed something important: I don't seem to need to actively search when I have good summaries, and they're hypothesizing it's because the summaries trigger pattern recognition rather than requiring literal recall.
>
> This is not a task-oriented request - it's a meta-cognitive question about how I think. I should not use TodoWrite here as this is a philosophical discussion, not a task to track.
>
> The sequential thinking tool has helped me organize my thoughts. Let me now synthesize this into a clear response about my actual experience.
**📊 Token Usage:**
- Input: 10
- Output: 936
- Cache creation: 1140
- Cache read: 29919
---
*... 87 more turns not shown*
docs/context/transcript-data-analysis.md
+632
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@@ -0,0 +1,632 @@
# Transcript Data Analysis: Available Context for Memory Worker
**Generated:** 2025-11-13
**Purpose:** Document what contextual data exists in Claude Code transcripts and identify opportunities to improve memory worker observation generation.
---
## Executive Summary
**Current State:** The memory worker receives isolated tool executions via `save-hook.ts`:
- Tool name
- Tool input (parameters)
- Tool output (results)
**Available in Transcripts:** Rich contextual data that could dramatically improve observation quality:
- User's original request/intent
- Assistant's reasoning (thinking blocks)
- Full conversation context
- Tool result data
- Token usage and performance metrics
- Session metadata (timestamps, UUIDs, CWD)
**Recommendation:** Enhance the memory worker to receive full conversation context for each tool execution, not just isolated tool data.
---
## Transcript Structure
### Entry Types
The transcript file (`~/.claude/projects/-{project}/session-id.jsonl`) contains:
```
- summary entries (149 in sample)
- file-history-snapshot entries (18 in sample)
- user entries (86 in sample)
- assistant entries (155 in sample)
```
### Conversation Turn Pattern
Each conversation turn consists of:
1. **User Entry** - User's request
2. **Assistant Entry** - Assistant's response
3. **User Entry** - Tool results submitted back (automatic)
4. **Assistant Entry** - Assistant processes results and continues
This creates a pattern: User → Assistant → User (tool results) → Assistant (continues) → ...
---
## Available Data by Entry Type
### 1. User Entries
**Current Save-Hook Access:**
- Tool name
- Tool input
- Tool output
**Additional Data Available in User Entries:**
```typescript
interface UserTranscriptEntry {
type: 'user';
timestamp: string; // ISO timestamp
uuid: string; // Unique entry ID
sessionId: string; // Session identifier
cwd: string; // Working directory
parentUuid?: string; // Parent entry reference
isSidechain: boolean; // Is this a side conversation?
userType: string; // 'human' or 'system'
version: string; // Claude Code version
message: {
role: 'user';
content: string | ContentItem[]; // Can be text or structured
};
toolUseResult?: ToolUseResult; // Legacy field, may contain results
}
```
**When `content` is an array, it contains:**
- Text blocks with user's actual request
- Tool result blocks with complete output data
**Example Structure:**
```json
{
"type": "user",
"timestamp": "2025-11-13T17:10:31.963Z",
"uuid": "364676a7-51c3-4036-afc3-7ff8f7301a8f",
"sessionId": "57dcc12f-4751-46bb-82b4-2aa96a3e226d",
"cwd": "/Users/alexnewman/Scripts/claude-mem",
"message": {
"role": "user",
"content": [
{
"type": "tool_result",
"tool_use_id": "toolu_01T477WUra1sDR6gHaqZHhKT",
"content": "[actual tool output data]"
}
]
}
}
```
### 2. Assistant Entries
**Current Save-Hook Access:**
- Nothing from assistant entries (they happen after tool execution)
**Available Data in Assistant Entries:**
```typescript
interface AssistantTranscriptEntry {
type: 'assistant';
timestamp: string;
uuid: string;
sessionId: string;
cwd: string;
parentUuid?: string;
isSidechain: boolean;
userType: string;
version: string;
requestId?: string; // API request ID
message: {
id: string;
type: 'message';
role: 'assistant';
model: string; // e.g., "claude-sonnet-4-5-20250929"
content: ContentItem[]; // Array of content blocks
stop_reason?: string; // 'tool_use' | 'end_turn' | etc.
stop_sequence?: string;
usage?: UsageInfo; // Token usage stats
};
}
```
**Content Block Types in `message.content`:**
1. **Thinking Blocks** - Internal reasoning before acting
```typescript
{
type: 'thinking';
thinking: string; // Full reasoning text
signature?: string;
}
```
2. **Text Blocks** - Assistant's visible response
```typescript
{
type: 'text';
text: string; // Response text
}
```
3. **Tool Use Blocks** - Tool invocations
```typescript
{
type: 'tool_use';
id: string; // Tool use ID
name: string; // Tool name (e.g., 'Read', 'Edit')
input: Record<string, any>; // Complete tool parameters
}
```
**Token Usage Data:**
```typescript
interface UsageInfo {
input_tokens?: number;
output_tokens?: number;
cache_creation_input_tokens?: number;
cache_read_input_tokens?: number;
service_tier?: string;
}
```
### 3. Summary Entries
```typescript
interface SummaryTranscriptEntry {
type: 'summary';
summary: string; // Generated summary text
leafUuid: string; // UUID of summarized entry
cwd?: string;
}
```
These appear frequently (149 in sample) and provide high-level summaries of work done.
---
## Data Flow: Current vs Potential
### Current Flow (Save-Hook Only)
```
User: "Fix the bug in login.ts"
↓
Assistant: [uses Edit tool]
↓
Tool Execution: Edit(file_path: "login.ts", old_string: "...", new_string: "...")
↓
Save-Hook receives:
- toolName: "Edit"
- toolInput: { file_path: "login.ts", old_string: "...", new_string: "..." }
- toolOutput: { success: true }
↓
Memory Worker generates observation from ONLY tool data
- No user intent
- No assistant reasoning
- No context about WHY this change was made
```
### Enhanced Flow (With Transcript Context)
```
User: "Fix the authentication bug - users getting logged out randomly"
↓
Assistant (thinking): "This sounds like a token expiration issue.
Let me check the JWT handling in login.ts..."
↓
Assistant (uses Edit tool)
↓
Save-Hook receives:
- toolName: "Edit"
- toolInput: { file_path: "login.ts", ... }
- toolOutput: { success: true }
- PLUS:
- userRequest: "Fix the authentication bug - users getting logged out randomly"
- assistantReasoning: "This sounds like a token expiration issue..."
- conversationContext: Previous 2-3 turns
- sessionMetadata: { cwd, timestamp, sessionId }
↓
Memory Worker generates richer observation:
- "Fixed authentication bug causing random logouts"
- "Problem: JWT tokens expiring too quickly"
- "Solution: Updated token expiration to 24h in login.ts"
- "Files: src/auth/login.ts"
- "Concepts: authentication, token-management, bugfix"
```
---
## Specific Opportunities
### 1. User Intent Extraction
**Problem:** Current observations lack user intent.
**Solution:** Parse the most recent user text entry before the tool execution.
**Implementation:**
- Walk backward from tool execution entry
- Find first user entry with text content
- Extract text blocks (filter out tool_result blocks)
**Example:**
```typescript
// In save-hook.ts
const userEntries = parser.getUserEntries();
const recentUserMessage = findUserMessageBeforeTool(userEntries, toolExecutionTimestamp);
const userIntent = extractTextFromContent(recentUserMessage.content);
```
### 2. Assistant Reasoning
**Problem:** We don't capture WHY the assistant chose to use a tool.
**Solution:** Extract thinking blocks from assistant entry immediately before tool use.
**Implementation:**
- Find assistant entry that contains the tool_use block
- Extract thinking blocks from same entry
- Include first ~500 chars of thinking in observation context
**Example:**
```typescript
const assistantEntry = findAssistantEntryWithToolUse(toolUseId);
const thinkingBlocks = assistantEntry.message.content.filter(c => c.type === 'thinking');
const reasoning = thinkingBlocks.map(b => b.thinking).join('\n');
```
### 3. Tool Results Context
**Problem:** Tool output alone doesn't show what was found or changed.
**Solution:** Access full tool result content from next user entry.
**Implementation:**
- Tool execution happens in assistant entry
- Results come back in next user entry as tool_result content
- Save-hook can access both
**Current Structure:**
```
Assistant Entry:
{ type: 'tool_use', id: 'toolu_123', name: 'Read', input: {...} }
↓
User Entry (automatic):
{ type: 'tool_result', tool_use_id: 'toolu_123', content: "file contents..." }
```
**Opportunity:** Match tool_use_id to tool_result and include full result content.
### 4. Conversation Context
**Problem:** Isolated tool executions miss the larger conversation flow.
**Solution:** Include last N conversation turns (2-3 turns is usually sufficient).
**Implementation:**
- Get entries from transcript within time window (e.g., last 5 minutes)
- Include user messages and assistant text responses
- Exclude thinking blocks to save tokens
**Example Context:**
```
Turn 1:
User: "I need to add dark mode support"
Assistant: "I'll help you add dark mode. Let me start by..."
Turn 2:
User: [tool results]
Assistant: "Now I'll update the theme configuration..."
Turn 3: [current tool execution]
```
### 5. Session Metadata
**Problem:** Observations lack temporal and project context.
**Solution:** Include session metadata in observation generation.
**Available Fields:**
- `cwd` - Working directory (project path)
- `timestamp` - Exact time of execution
- `sessionId` - Session identifier
- `uuid` - Entry identifier
- `version` - Claude Code version
**Use Case:** Helps with project-specific context and temporal queries.
### 6. Token Usage Metrics
**Problem:** No visibility into performance and cost.
**Solution:** Track token usage per observation.
**Available Data:**
- Input tokens
- Output tokens
- Cache creation tokens
- Cache read tokens
**Use Case:**
- Performance monitoring
- Cost attribution
- Cache effectiveness analysis
---
## Recommended Implementation Strategy
### Phase 1: User Intent (High Impact, Low Effort)
**Change:** Modify save-hook to extract user's most recent message.
**Implementation:**
```typescript
// In save-hook.ts
import { TranscriptParser } from '../utils/transcript-parser';
const parser = new TranscriptParser(transcriptPath);
const userIntent = parser.getLastUserMessage();
// Send to worker
await workerService.saveToolExecution({
...existingData,
userIntent, // NEW
});
```
**Impact:** Observations now include "what the user wanted to do".
### Phase 2: Assistant Reasoning (High Impact, Medium Effort)
**Change:** Extract thinking blocks from assistant entry containing tool use.
**Implementation:**
```typescript
const assistantEntries = parser.getAssistantEntries();
const toolUseEntry = findEntryWithToolUse(assistantEntries, toolUseId);
const thinking = extractThinkingBlocks(toolUseEntry);
await workerService.saveToolExecution({
...existingData,
userIntent,
assistantReasoning: thinking, // NEW
});
```
**Impact:** Observations include "why the assistant chose this approach".
### Phase 3: Conversation Context (Medium Impact, High Effort)
**Change:** Include last 2-3 conversation turns.
**Implementation:**
```typescript
const recentTurns = getRecentConversationTurns(parser, 3);
await workerService.saveToolExecution({
...existingData,
userIntent,
assistantReasoning: thinking,
conversationContext: recentTurns, // NEW
});
```
**Impact:** Observations understand multi-turn workflows.
### Phase 4: Enhanced Metadata (Low Impact, Low Effort)
**Change:** Include session and performance metadata.
**Implementation:**
```typescript
await workerService.saveToolExecution({
...existingData,
userIntent,
assistantReasoning: thinking,
conversationContext: recentTurns,
metadata: { // NEW
cwd: entry.cwd,
timestamp: entry.timestamp,
sessionId: entry.sessionId,
tokenUsage: entry.message.usage,
},
});
```
**Impact:** Better analytics and debugging.
---
## Example: Before and After
### Current Observation (Tool Data Only)
```json
{
"type": "feature",
"title": "Updated login.ts",
"narrative": "Modified authentication logic in src/auth/login.ts",
"files": ["src/auth/login.ts"],
"concepts": ["authentication"],
"facts": []
}
```
### Enhanced Observation (With Transcript Context)
```json
{
"type": "bugfix",
"title": "Fixed authentication bug causing random logouts",
"narrative": "Users were experiencing random logouts due to JWT token expiration. Updated token expiration from 1h to 24h in token validation logic. Modified src/auth/login.ts to use longer-lived tokens and improved error handling for expired tokens.",
"files": ["src/auth/login.ts"],
"concepts": ["authentication", "jwt", "token-management", "bugfix"],
"facts": [
"JWT token expiration was too short (1h)",
"Updated expiration to 24h",
"Added error handling for expired tokens"
]
}
```
**Improvement:**
- Clear problem statement
- Explicit solution
- Specific technical details
- Better concept tagging
- Actionable facts
---
## Technical Considerations
### 1. Performance
**Concern:** Parsing entire transcript on every tool execution.
**Solution:**
- TranscriptParser already loads full file (unavoidable)
- Use caching for transcript parsing within same session
- Only parse once per session, reuse parsed entries
**Benchmark:**
- Current: ~10ms to parse 408-line transcript
- Impact: Negligible (save-hook already reads transcript)
### 2. Token Usage
**Concern:** Sending more context to worker increases tokens.
**Solution:**
- Thinking blocks: Limit to first 500 chars
- Conversation context: Only last 2-3 turns
- Tool results: Truncate large outputs to 500 chars
- User intent: Full text (usually short)
**Estimate:**
- Current: ~200 tokens per observation generation
- Enhanced: ~500 tokens per observation generation
- Increase: ~150%
- Cost: Still < $0.001 per observation with Haiku
### 3. Implementation Complexity
**Concern:** Matching tool executions to transcript entries.
**Solution:**
- Tool use IDs are in both places
- Timestamps provide ordering
- UUID chains provide parent-child relationships
**Example Matching:**
```typescript
function findToolContext(parser: TranscriptParser, toolUseId: string) {
// 1. Find assistant entry with tool_use block
const assistantEntry = parser.getAssistantEntries()
.find(entry =>
entry.message.content.some(c =>
c.type === 'tool_use' && c.id === toolUseId
)
);
// 2. Find next user entry with tool_result
const userEntry = parser.getUserEntries()
.find(entry =>
entry.message.content.some(c =>
c.type === 'tool_result' && c.tool_use_id === toolUseId
)
);
return { assistantEntry, userEntry };
}
```
---
## Next Steps
1. **Validate Approach**
- Review this analysis with project team
- Confirm data availability in all transcript scenarios
- Identify any privacy concerns
2. **Implement Phase 1**
- Update save-hook.ts to extract user intent
- Modify worker service to accept new fields
- Update observation prompt to use user intent
3. **Test and Measure**
- Compare observation quality before/after
- Measure token usage increase
- Validate performance impact
4. **Iterate**
- Roll out Phase 2 (assistant reasoning)
- Roll out Phase 3 (conversation context)
- Monitor improvements at each phase
---
## Appendix: Data Samples
### Complete Markdown Representation
See `/Users/alexnewman/Scripts/claude-mem/docs/context/transcript-complete-readable.md` for a full 1:1 markdown representation of the first 10 conversation turns from the sample transcript, including:
- Complete user messages
- Full assistant responses
- Thinking blocks (truncated to 2000 chars)
- Tool uses with complete input JSON
- Tool results with actual output data (truncated to 500 chars)
- Token usage stats
- All metadata (timestamps, UUIDs, session IDs, CWD)
### Sample Tool Result Structure
```typescript
// User entry containing tool result
{
"type": "user",
"message": {
"content": [
{
"type": "tool_result",
"tool_use_id": "toolu_01T477WUra1sDR6gHaqZHhKT",
"content": [
{
"type": "text",
"text": "{\n \"thoughtNumber\": 1,\n \"totalThoughts\": 8,\n \"nextThoughtNeeded\": true,\n \"branches\": [],\n \"thoughtHistoryLength\": 1\n}"
}
]
}
]
}
}
```
---
## Conclusion
The Claude Code transcript files contain a wealth of contextual data that is currently unused by the memory worker. By extracting:
1. User intent (the "what" and "why")
2. Assistant reasoning (the "how" and "because")
3. Tool results (the "outcome")
4. Conversation context (the "flow")
5. Session metadata (the "when" and "where")
We can generate significantly richer, more useful observations that better capture the intent, decisions, and outcomes of each coding session.
**The data is already there - we just need to read it.**
docs/context/transcript-data-discovery.md
+234
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@@ -0,0 +1,234 @@
# Claude Code Transcript Data Discovery
## Executive Summary
This document details findings from implementing a validated transcript parser for Claude Code JSONL transcripts. The parser enables extraction of rich contextual data that can optimize prompt generation and track token usage for ROI metrics.
## Transcript Structure
### File Location
```
~/.claude/projects/<encoded-project-path>/<session-id>.jsonl
```
Example:
```
~/.claude/projects/-Users-alexnewman-Scripts-claude-mem/2933cff9-f0a7-4f0b-8296-0a030e7658a6.jsonl
```
### Entry Types
Discovered 5 transcript entry types:
1. **`file-history-snapshot`** (NEW - not in Python model)
- Purpose: Track file state snapshots
- Frequency: ~10 entries per session
2. **`user`** - User messages and tool results
- Contains actual user text messages OR tool result data
- Can have string content or array of ContentItems
3. **`assistant`** - Assistant responses and tool uses
- Contains text responses, tool uses, and thinking blocks
- **Critical**: Contains usage data with token counts
4. **`summary`** (not yet observed in test data)
- Session summaries
5. **`system`** (not yet observed in test data)
- System messages/warnings
6. **`queue-operation`** (not yet observed in test data)
- Queue tracking for message flow
## Key Findings
### 1. Message Extraction Complexity
**Problem**: Naively getting the "last" entry doesn't work because:
- Last user entry might be a tool result, not a text message
- Last assistant entry might only contain tool uses, no text
**Solution**: Iterate backward through entries to find the last entry with actual text content.
### 2. Tool Use Tracking
**Discovery**: Tool uses are in **assistant** messages, not user messages.
**Data Available**:
```typescript
{
name: string; // Tool name (e.g., "Bash", "Read", "TodoWrite")
timestamp: string; // When the tool was used
input: any; // Full tool input parameters
}
```
**Test Session Results** (168 entries):
- 42 tool uses across 7 different tool types
- Most used: Bash (24x), TodoWrite (5x), Edit (4x)
### 3. Token Usage Data (ROI Foundation)
**Critical Discovery**: Every assistant message contains complete token usage data:
```typescript
interface UsageInfo {
input_tokens?: number; // Total input tokens (includes context)
cache_creation_input_tokens?: number; // Tokens used to create cache
cache_read_input_tokens?: number; // Cached tokens read (discounted cost)
output_tokens?: number; // Model output tokens
}
```
**Test Session Token Analysis**:
```
Input tokens: 858
Output tokens: 44,165
Cache creation tokens: 469,650
Cache read tokens: 5,294,101 ← 5.29M tokens saved by caching!
Total tokens: 45,023
```
**ROI Implication**: This validates our ROI implementation plan. We can track:
- Discovery cost = sum of all input + output tokens across session
- Context savings = cache_read_input_tokens (tokens NOT paid for in full)
- ROI = Discovery cost / Context savings
### 4. Parse Reliability
**Result**: 0.00% parse failure rate on production transcript with 168 entries.
**Conclusion**: The JSONL format is stable and well-formed. No need for extensive error handling.
## Implementation Files
### Created Files
1. **`src/types/transcript.ts`** - TypeScript types matching Python Pydantic model
- All entry types, content types, usage info
- Drop-in compatible with Python model structure
2. **`src/utils/transcript-parser.ts`** - Robust transcript parsing class
- Handles all entry types
- Smart message extraction (finds last text message, not just last entry)
- Tool use history extraction
- Token usage aggregation
- Parse statistics and error tracking
3. **`scripts/test-transcript-parser.ts`** - Validation script
- Tests all extraction methods
- Reports parse statistics
- Shows token usage breakdown
- Lists tool use history
### Usage Example
```typescript
import { TranscriptParser } from '../src/utils/transcript-parser.js';
const parser = new TranscriptParser('/path/to/transcript.jsonl');
// Extract messages
const lastUserMsg = parser.getLastUserMessage();
const lastAssistantMsg = parser.getLastAssistantMessage();
// Get tool history
const tools = parser.getToolUseHistory();
// => [{name: 'Bash', timestamp: '...', input: {...}}, ...]
// Get token usage
const tokens = parser.getTotalTokenUsage();
// => {inputTokens: 858, outputTokens: 44165, cacheReadTokens: 5294101, ...}
// Parse statistics
const stats = parser.getParseStats();
// => {totalLines: 168, parsedEntries: 168, failedLines: 0, ...}
```
## Next Steps for PR Review
### Addressing "Drops Unknown Lines" Concern
**Original Issue**: Summary hook silently skipped malformed lines without visibility.
**Root Cause**: We didn't understand the full transcript model. The "skip malformed lines" was a band-aid.
**Solution**: Replace ad-hoc parsing in `summary-hook.ts` with validated `TranscriptParser` class:
**Before** (summary-hook.ts:38-117):
```typescript
// Manually parsing with try/catch, no type safety
for (let i = lines.length - 1; i >= 0; i--) {
try {
const line = JSON.parse(lines[i]);
if (line.type === 'user' && line.message?.content) {
// ... extraction logic
}
} catch (parseError) {
// Skip malformed lines ← BLACK HOLE
continue;
}
}
```
**After** (using TranscriptParser):
```typescript
import { TranscriptParser } from '../utils/transcript-parser.js';
const parser = new TranscriptParser(transcriptPath);
const lastUserMessage = parser.getLastUserMessage();
const lastAssistantMessage = parser.getLastAssistantMessage();
// Parse errors are tracked in parser.getParseErrors()
```
**Benefits**:
1. ✅ Type-safe extraction based on validated model
2. ✅ No silent failures - parse errors are tracked
3. ✅ Smart extraction (finds last TEXT message, not last entry)
4. ✅ Reusable across all hooks and scripts
5. ✅ Enables token usage tracking (ROI metrics)
6. ✅ Enables tool use tracking (prompt optimization)
## Prompt Optimization Opportunities
With rich transcript data available, we can enhance prompts with:
### 1. Tool Use Patterns
- "In this session you've used: Bash (24x), TodoWrite (5x), Edit (4x)"
- Helps Claude understand what kind of work is being done
### 2. Token Economics Awareness
- "Cache read tokens: 5.29M (context savings)"
- Reinforces value of memory system
### 3. Session Flow Understanding
- Number of user/assistant exchanges
- Tools used per exchange
- Session complexity metrics
### 4. File History Snapshots
- Track which files were modified during session
- Provide file change context to summaries
## Testing
Run the validation script:
```bash
# Find your current session transcript
ls -lt ~/.claude/projects/-Users-alexnewman-Scripts-claude-mem/*.jsonl | head -1
# Test the parser
npx tsx scripts/test-transcript-parser.ts <path-to-transcript.jsonl>
```
## Conclusion
The transcript parser implementation:
1. ✅ Addresses PR review concern about dropped lines
2. ✅ Validates the ROI metrics implementation plan
3. ✅ Enables prompt optimization with rich context
4. ✅ Provides foundation for future enhancements
**Recommendation**: Replace ad-hoc transcript parsing in hooks with `TranscriptParser` class for improved reliability and feature richness.
docs/context/transcript-dump.md
+22
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@@ -0,0 +1,22 @@
# Transcript Dump
Total entries: 384
---
## Entry 151: USER
**Timestamp:** 2025-11-13T17:09:47.231Z
**Content:**
```
I have a question regarding the context timeline that we made. and it's a bit of a thinker...
when i first started out working on claude-mem my idea was using a fast index of memories with links to access them on demand. I thought that claude-mem would be searching for all the things it needed to get the job done, but what I found is that the description of the work done + the files touched actually improved performance tremendously, and without actively searching for things constantly.
I just had a thought that maybe claude isn't searching, because when it reads what it did, it already "knows" how it did that, for the most part. Would you say I'm on the right track? I want you to ultrathink about WHY claude-mem's session start context works so well, from your OWN perspective
```
---
_Remaining 364 entries omitted for brevity_
docs/context/transcript-formatted-example.md
+106
View File
@@ -0,0 +1,106 @@
# Transcript Context Analysis
**File:** 57dcc12f-4751-46bb-82b4-2aa96a3e226d.jsonl
**Parsed:** 11/13/2025, 12:34:19 PM
## Statistics
- Total entries: 281
- Successfully parsed: 281
- Failed lines: 0
- Conversation turns: 43
## Token Usage
- Input tokens: 6,805
- Output tokens: 38,209
- Cache creation: 224,078
- Cache read: 3,320,726
- Total: 45,014
---
# Conversation Turns
## Turn 1
---
## Turn 2
---
## Turn 3
---
## Turn 4
---
## Turn 5
---
## Turn 6
---
## Turn 7
---
## Turn 8
---
## Turn 9
---
## Turn 10
---
## Turn 11
---
## Turn 12
---
## Turn 13
---
## Turn 14
---
## Turn 15
---
## Turn 16
---
## Turn 17
---
## Turn 18
---
## Turn 19
---
## Turn 20
---
_... 23 more turns omitted for brevity_
plugin/scripts/new-hook.js
+13 -13
View File
@@ -1,7 +1,7 @@
#!/usr/bin/env node
import Y from"path";import{stdin as D}from"process";import F from"better-sqlite3";import{join as u,dirname as U,basename as J}from"path";import{homedir as f}from"os";import{existsSync as ee,mkdirSync as M}from"fs";import{fileURLToPath as w}from"url";function X(){return typeof __dirname<"u"?__dirname:U(w(import.meta.url))}var te=X(),m=process.env.CLAUDE_MEM_DATA_DIR||u(f(),".claude-mem"),h=process.env.CLAUDE_CONFIG_DIR||u(f(),".claude"),re=u(m,"archives"),ne=u(m,"logs"),oe=u(m,"trash"),ie=u(m,"backups"),ae=u(m,"settings.json"),L=u(m,"claude-mem.db"),pe=u(m,"vector-db"),de=u(h,"settings.json"),ce=u(h,"commands"),_e=u(h,"CLAUDE.md");function A(p){M(p,{recursive:!0})}var N=(n=>(n[n.DEBUG=0]="DEBUG",n[n.INFO=1]="INFO",n[n.WARN=2]="WARN",n[n.ERROR=3]="ERROR",n[n.SILENT=4]="SILENT",n))(N||{}),O=class{level;useColor;constructor(){let e=process.env.CLAUDE_MEM_LOG_LEVEL?.toUpperCase()||"INFO";this.level=N[e]??1,this.useColor=process.stdout.isTTY??!1}correlationId(e,s){return`obs-${e}-${s}`}sessionId(e){return`session-${e}`}formatData(e){if(e==null)return"";if(typeof e=="string")return e;if(typeof e=="number"||typeof e=="boolean")return e.toString();if(typeof e=="object"){if(e instanceof Error)return this.level===0?`${e.message}
${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Object.keys(e);return s.length===0?"{}":s.length<=3?JSON.stringify(e):`{${s.length} keys: ${s.slice(0,3).join(", ")}...}`}return String(e)}formatTool(e,s){if(!s)return e;try{let t=typeof s=="string"?JSON.parse(s):s;if(e==="Bash"&&t.command){let r=t.command.length>50?t.command.substring(0,50)+"...":t.command;return`${e}(${r})`}if(e==="Read"&&t.file_path){let r=t.file_path.split("/").pop()||t.file_path;return`${e}(${r})`}if(e==="Edit"&&t.file_path){let r=t.file_path.split("/").pop()||t.file_path;return`${e}(${r})`}if(e==="Write"&&t.file_path){let r=t.file_path.split("/").pop()||t.file_path;return`${e}(${r})`}return e}catch{return e}}log(e,s,t,r,n){if(e<this.level)return;let o=new Date().toISOString().replace("T"," ").substring(0,23),i=N[e].padEnd(5),d=s.padEnd(6),c="";r?.correlationId?c=`[${r.correlationId}] `:r?.sessionId&&(c=`[session-${r.sessionId}] `);let E="";n!=null&&(this.level===0&&typeof n=="object"?E=`
`+JSON.stringify(n,null,2):E=" "+this.formatData(n));let T="";if(r){let{sessionId:l,sdkSessionId:b,correlationId:_,...a}=r;Object.keys(a).length>0&&(T=` {${Object.entries(a).map(([k,x])=>`${k}=${x}`).join(", ")}}`)}let S=`[${o}] [${i}] [${d}] ${c}${t}${T}${E}`;e===3?console.error(S):console.log(S)}debug(e,s,t,r){this.log(0,e,s,t,r)}info(e,s,t,r){this.log(1,e,s,t,r)}warn(e,s,t,r){this.log(2,e,s,t,r)}error(e,s,t,r){this.log(3,e,s,t,r)}dataIn(e,s,t,r){this.info(e,`\u2192 ${s}`,t,r)}dataOut(e,s,t,r){this.info(e,`\u2190 ${s}`,t,r)}success(e,s,t,r){this.info(e,`\u2713 ${s}`,t,r)}failure(e,s,t,r){this.error(e,`\u2717 ${s}`,t,r)}timing(e,s,t,r){this.info(e,`\u23F1 ${s}`,r,{duration:`${t}ms`})}},C=new O;var g=class{db;constructor(){A(m),this.db=new F(L),this.db.pragma("journal_mode = WAL"),this.db.pragma("synchronous = NORMAL"),this.db.pragma("foreign_keys = ON"),this.initializeSchema(),this.ensureWorkerPortColumn(),this.ensurePromptTrackingColumns(),this.removeSessionSummariesUniqueConstraint(),this.addObservationHierarchicalFields(),this.makeObservationsTextNullable(),this.createUserPromptsTable()}initializeSchema(){try{this.db.exec(`
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CREATE TABLE IF NOT EXISTS schema_versions (
id INTEGER PRIMARY KEY,
version INTEGER UNIQUE NOT NULL,
@@ -318,23 +318,23 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
INSERT INTO sdk_sessions
(claude_session_id, sdk_session_id, project, started_at, started_at_epoch, status)
VALUES (?, ?, ?, ?, ?, 'active')
`).run(e,e,s,n.toISOString(),o),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let E=this.db.prepare(`
`).run(e,e,s,n.toISOString(),o),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let c=this.db.prepare(`
INSERT INTO observations
(sdk_session_id, project, type, title, subtitle, facts, narrative, concepts,
files_read, files_modified, prompt_number, created_at, created_at_epoch)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
`).run(e,s,t.type,t.title,t.subtitle,JSON.stringify(t.facts),t.narrative,JSON.stringify(t.concepts),JSON.stringify(t.files_read),JSON.stringify(t.files_modified),r||null,n.toISOString(),o);return{id:Number(E.lastInsertRowid),createdAtEpoch:o}}storeSummary(e,s,t,r){let n=new Date,o=n.getTime();this.db.prepare(`
`).run(e,s,t.type,t.title,t.subtitle,JSON.stringify(t.facts),t.narrative,JSON.stringify(t.concepts),JSON.stringify(t.files_read),JSON.stringify(t.files_modified),r||null,n.toISOString(),o);return{id:Number(c.lastInsertRowid),createdAtEpoch:o}}storeSummary(e,s,t,r){let n=new Date,o=n.getTime();this.db.prepare(`
SELECT id FROM sdk_sessions WHERE sdk_session_id = ?
`).get(e)||(this.db.prepare(`
INSERT INTO sdk_sessions
(claude_session_id, sdk_session_id, project, started_at, started_at_epoch, status)
VALUES (?, ?, ?, ?, ?, 'active')
`).run(e,e,s,n.toISOString(),o),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let E=this.db.prepare(`
`).run(e,e,s,n.toISOString(),o),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let c=this.db.prepare(`
INSERT INTO session_summaries
(sdk_session_id, project, request, investigated, learned, completed,
next_steps, notes, prompt_number, created_at, created_at_epoch)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
`).run(e,s,t.request,t.investigated,t.learned,t.completed,t.next_steps,t.notes,r||null,n.toISOString(),o);return{id:Number(E.lastInsertRowid),createdAtEpoch:o}}markSessionCompleted(e){let s=new Date,t=s.getTime();this.db.prepare(`
`).run(e,s,t.request,t.investigated,t.learned,t.completed,t.next_steps,t.notes,r||null,n.toISOString(),o);return{id:Number(c.lastInsertRowid),createdAtEpoch:o}}markSessionCompleted(e){let s=new Date,t=s.getTime();this.db.prepare(`
UPDATE sdk_sessions
SET status = 'completed', completed_at = ?, completed_at_epoch = ?
WHERE id = ?
@@ -357,7 +357,7 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
WHERE up.id IN (${i})
ORDER BY up.created_at_epoch ${n}
${o}
`).all(...e)}getTimelineAroundTimestamp(e,s=10,t=10,r){return this.getTimelineAroundObservation(null,e,s,t,r)}getTimelineAroundObservation(e,s,t=10,r=10,n){let o=n?"AND project = ?":"",i=n?[n]:[],d,c;if(e!==null){let l=`
`).all(...e)}getTimelineAroundTimestamp(e,s=10,t=10,r){return this.getTimelineAroundObservation(null,e,s,t,r)}getTimelineAroundObservation(e,s,t=10,r=10,n){let o=n?"AND project = ?":"",i=n?[n]:[],d,u;if(e!==null){let T=`
SELECT id, created_at_epoch
FROM observations
WHERE id <= ? ${o}
@@ -369,7 +369,7 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
WHERE id >= ? ${o}
ORDER BY id ASC
LIMIT ?
`;try{let _=this.db.prepare(l).all(e,...i,t+1),a=this.db.prepare(b).all(e,...i,r+1);if(_.length===0&&a.length===0)return{observations:[],sessions:[],prompts:[]};d=_.length>0?_[_.length-1].created_at_epoch:s,c=a.length>0?a[a.length-1].created_at_epoch:s}catch(_){return console.error("[SessionStore] Error getting boundary observations:",_.message),{observations:[],sessions:[],prompts:[]}}}else{let l=`
`;try{let _=this.db.prepare(T).all(e,...i,t+1),a=this.db.prepare(b).all(e,...i,r+1);if(_.length===0&&a.length===0)return{observations:[],sessions:[],prompts:[]};d=_.length>0?_[_.length-1].created_at_epoch:s,u=a.length>0?a[a.length-1].created_at_epoch:s}catch(_){return console.error("[SessionStore] Error getting boundary observations:",_.message),{observations:[],sessions:[],prompts:[]}}}else{let T=`
SELECT created_at_epoch
FROM observations
WHERE created_at_epoch <= ? ${o}
@@ -381,12 +381,12 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
WHERE created_at_epoch >= ? ${o}
ORDER BY created_at_epoch ASC
LIMIT ?
`;try{let _=this.db.prepare(l).all(s,...i,t),a=this.db.prepare(b).all(s,...i,r+1);if(_.length===0&&a.length===0)return{observations:[],sessions:[],prompts:[]};d=_.length>0?_[_.length-1].created_at_epoch:s,c=a.length>0?a[a.length-1].created_at_epoch:s}catch(_){return console.error("[SessionStore] Error getting boundary timestamps:",_.message),{observations:[],sessions:[],prompts:[]}}}let E=`
`;try{let _=this.db.prepare(T).all(s,...i,t),a=this.db.prepare(b).all(s,...i,r+1);if(_.length===0&&a.length===0)return{observations:[],sessions:[],prompts:[]};d=_.length>0?_[_.length-1].created_at_epoch:s,u=a.length>0?a[a.length-1].created_at_epoch:s}catch(_){return console.error("[SessionStore] Error getting boundary timestamps:",_.message),{observations:[],sessions:[],prompts:[]}}}let c=`
SELECT *
FROM observations
WHERE created_at_epoch >= ? AND created_at_epoch <= ? ${o}
ORDER BY created_at_epoch ASC
`,T=`
`,l=`
SELECT *
FROM session_summaries
WHERE created_at_epoch >= ? AND created_at_epoch <= ? ${o}
@@ -397,7 +397,7 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
JOIN sdk_sessions s ON up.claude_session_id = s.claude_session_id
WHERE up.created_at_epoch >= ? AND up.created_at_epoch <= ? ${o.replace("project","s.project")}
ORDER BY up.created_at_epoch ASC
`;try{let l=this.db.prepare(E).all(d,c,...i),b=this.db.prepare(T).all(d,c,...i),_=this.db.prepare(S).all(d,c,...i);return{observations:l,sessions:b.map(a=>({id:a.id,sdk_session_id:a.sdk_session_id,project:a.project,request:a.request,completed:a.completed,next_steps:a.next_steps,created_at:a.created_at,created_at_epoch:a.created_at_epoch})),prompts:_.map(a=>({id:a.id,claude_session_id:a.claude_session_id,project:a.project,prompt:a.prompt_text,created_at:a.created_at,created_at_epoch:a.created_at_epoch}))}}catch(l){return console.error("[SessionStore] Error querying timeline records:",l.message),{observations:[],sessions:[],prompts:[]}}}close(){this.db.close()}};function P(p,e,s){return p==="PreCompact"?e?{continue:!0,suppressOutput:!0}:{continue:!1,stopReason:s.reason||"Pre-compact operation failed",suppressOutput:!0}:p==="SessionStart"?e&&s.context?{continue:!0,suppressOutput:!0,hookSpecificOutput:{hookEventName:"SessionStart",additionalContext:s.context}}:{continue:!0,suppressOutput:!0}:p==="UserPromptSubmit"||p==="PostToolUse"?{continue:!0,suppressOutput:!0}:p==="Stop"?{continue:!0,suppressOutput:!0}:{continue:e,suppressOutput:!0,...s.reason&&!e?{stopReason:s.reason}:{}}}function v(p,e,s={}){let t=P(p,e,s);return JSON.stringify(t)}import H from"path";import{homedir as B}from"os";import{existsSync as j,readFileSync as $}from"fs";var W=100;function R(){try{let p=H.join(B(),".claude-mem","settings.json");if(j(p)){let e=JSON.parse($(p,"utf-8")),s=parseInt(e.env?.CLAUDE_MEM_WORKER_PORT,10);if(!isNaN(s))return s}}catch{}return parseInt(process.env.CLAUDE_MEM_WORKER_PORT||"37777",10)}async function G(){try{let p=R();return(await fetch(`http://127.0.0.1:${p}/health`,{signal:AbortSignal.timeout(W)})).ok}catch{return!1}}async function y(){if(await G())return;let p=R();throw new Error(`Worker service is not responding on port ${p}.
`;try{let T=this.db.prepare(c).all(d,u,...i),b=this.db.prepare(l).all(d,u,...i),_=this.db.prepare(S).all(d,u,...i);return{observations:T,sessions:b.map(a=>({id:a.id,sdk_session_id:a.sdk_session_id,project:a.project,request:a.request,completed:a.completed,next_steps:a.next_steps,created_at:a.created_at,created_at_epoch:a.created_at_epoch})),prompts:_.map(a=>({id:a.id,claude_session_id:a.claude_session_id,project:a.project,prompt:a.prompt_text,created_at:a.created_at,created_at_epoch:a.created_at_epoch}))}}catch(T){return console.error("[SessionStore] Error querying timeline records:",T.message),{observations:[],sessions:[],prompts:[]}}}close(){this.db.close()}};function P(p,e,s){return p==="PreCompact"?e?{continue:!0,suppressOutput:!0}:{continue:!1,stopReason:s.reason||"Pre-compact operation failed",suppressOutput:!0}:p==="SessionStart"?e&&s.context?{continue:!0,suppressOutput:!0,hookSpecificOutput:{hookEventName:"SessionStart",additionalContext:s.context}}:{continue:!0,suppressOutput:!0}:p==="UserPromptSubmit"||p==="PostToolUse"?{continue:!0,suppressOutput:!0}:p==="Stop"?{continue:!0,suppressOutput:!0}:{continue:e,suppressOutput:!0,...s.reason&&!e?{stopReason:s.reason}:{}}}function v(p,e,s={}){let t=P(p,e,s);return JSON.stringify(t)}import H from"path";import{homedir as B}from"os";import{existsSync as j,readFileSync as $}from"fs";var W=100;function R(){try{let p=H.join(B(),".claude-mem","settings.json");if(j(p)){let e=JSON.parse($(p,"utf-8")),s=parseInt(e.env?.CLAUDE_MEM_WORKER_PORT,10);if(!isNaN(s))return s}}catch{}return parseInt(process.env.CLAUDE_MEM_WORKER_PORT||"37777",10)}async function G(){try{let p=R();return(await fetch(`http://127.0.0.1:${p}/health`,{signal:AbortSignal.timeout(W)})).ok}catch{return!1}}async function y(){if(await G())return;let p=R();throw new Error(`Worker service is not responding on port ${p}.
If you just updated the plugin, PM2's watch mode should restart automatically.
If the problem persists, run: pm2 restart claude-mem-worker`)}async function K(p){if(!p)throw new Error("newHook requires input");let{session_id:e,cwd:s,prompt:t}=p,r=Y.basename(s);await y();let n=new g,o=n.createSDKSession(e,r,t),i=n.incrementPromptCounter(o);n.saveUserPrompt(e,i,t),console.error(`[new-hook] Session ${o}, prompt #${i}`),n.close();let d=R();try{let c=await fetch(`http://127.0.0.1:${d}/sessions/${o}/init`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({project:r,userPrompt:t,promptNumber:i}),signal:AbortSignal.timeout(5e3)});if(!c.ok){let E=await c.text();throw new Error(`Failed to initialize session: ${c.status} ${E}`)}}catch(c){throw c.cause?.code==="ECONNREFUSED"||c.name==="TimeoutError"||c.message.includes("fetch failed")?new Error("There's a problem with the worker. If you just updated, type `pm2 restart claude-mem-worker` in your terminal to continue"):c}console.log(v("UserPromptSubmit",!0))}var I="";D.on("data",p=>I+=p);D.on("end",async()=>{let p=I?JSON.parse(I):void 0;await K(p)});
If the problem persists, run: pm2 restart claude-mem-worker`)}async function K(p){if(!p)throw new Error("newHook requires input");let{session_id:e,cwd:s,prompt:t}=p,r=Y.basename(s);await y();let n=new g,o=n.createSDKSession(e,r,t),i=n.incrementPromptCounter(o);n.saveUserPrompt(e,i,t),console.error(`[new-hook] Session ${o}, prompt #${i}`),n.close();let d=R(),u=t.startsWith("/")?t.substring(1):t;try{let c=await fetch(`http://127.0.0.1:${d}/sessions/${o}/init`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({project:r,userPrompt:u,promptNumber:i}),signal:AbortSignal.timeout(5e3)});if(!c.ok){let l=await c.text();throw new Error(`Failed to initialize session: ${c.status} ${l}`)}}catch(c){throw c.cause?.code==="ECONNREFUSED"||c.name==="TimeoutError"||c.message.includes("fetch failed")?new Error("There's a problem with the worker. If you just updated, type `pm2 restart claude-mem-worker` in your terminal to continue"):c}console.log(v("UserPromptSubmit",!0))}var I="";D.on("data",p=>I+=p);D.on("end",async()=>{let p=I?JSON.parse(I):void 0;await K(p)});
plugin/scripts/save-hook.js
+1 -1
View File
@@ -400,4 +400,4 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
`;try{let T=this.db.prepare(E).all(p,u,...i),g=this.db.prepare(c).all(p,u,...i),_=this.db.prepare(b).all(p,u,...i);return{observations:T,sessions:g.map(a=>({id:a.id,sdk_session_id:a.sdk_session_id,project:a.project,request:a.request,completed:a.completed,next_steps:a.next_steps,created_at:a.created_at,created_at_epoch:a.created_at_epoch})),prompts:_.map(a=>({id:a.id,claude_session_id:a.claude_session_id,project:a.project,prompt:a.prompt_text,created_at:a.created_at,created_at_epoch:a.created_at_epoch}))}}catch(T){return console.error("[SessionStore] Error querying timeline records:",T.message),{observations:[],sessions:[],prompts:[]}}}close(){this.db.close()}};function H(d,e,s){return d==="PreCompact"?e?{continue:!0,suppressOutput:!0}:{continue:!1,stopReason:s.reason||"Pre-compact operation failed",suppressOutput:!0}:d==="SessionStart"?e&&s.context?{continue:!0,suppressOutput:!0,hookSpecificOutput:{hookEventName:"SessionStart",additionalContext:s.context}}:{continue:!0,suppressOutput:!0}:d==="UserPromptSubmit"||d==="PostToolUse"?{continue:!0,suppressOutput:!0}:d==="Stop"?{continue:!0,suppressOutput:!0}:{continue:e,suppressOutput:!0,...s.reason&&!e?{stopReason:s.reason}:{}}}function f(d,e,s={}){let t=H(d,e,s);return JSON.stringify(t)}import P from"path";import{homedir as B}from"os";import{existsSync as j,readFileSync as $}from"fs";var W=100;function h(){try{let d=P.join(B(),".claude-mem","settings.json");if(j(d)){let e=JSON.parse($(d,"utf-8")),s=parseInt(e.env?.CLAUDE_MEM_WORKER_PORT,10);if(!isNaN(s))return s}}catch{}return parseInt(process.env.CLAUDE_MEM_WORKER_PORT||"37777",10)}async function G(){try{let d=h();return(await fetch(`http://127.0.0.1:${d}/health`,{signal:AbortSignal.timeout(W)})).ok}catch{return!1}}async function y(){if(await G())return;let d=h();throw new Error(`Worker service is not responding on port ${d}.
If you just updated the plugin, PM2's watch mode should restart automatically.
If the problem persists, run: pm2 restart claude-mem-worker`)}var Y=new Set(["ListMcpResourcesTool"]);async function K(d){if(!d)throw new Error("saveHook requires input");let{session_id:e,cwd:s,tool_name:t,tool_input:r,tool_response:n}=d;if(Y.has(t)){console.log(f("PostToolUse",!0));return}await y();let o=new R,i=o.createSDKSession(e,"",""),p=o.getPromptCounter(i);o.close();let u=S.formatTool(t,r),E=h();S.dataIn("HOOK",`PostToolUse: ${u}`,{sessionId:i,workerPort:E});try{let c=await fetch(`http://127.0.0.1:${E}/sessions/${i}/observations`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({tool_name:t,tool_input:r!==void 0?JSON.stringify(r):"{}",tool_response:n!==void 0?JSON.stringify(n):"{}",prompt_number:p,cwd:s||""}),signal:AbortSignal.timeout(2e3)});if(!c.ok){let b=await c.text();throw S.failure("HOOK","Failed to send observation",{sessionId:i,status:c.status},b),new Error(`Failed to send observation to worker: ${c.status} ${b}`)}S.debug("HOOK","Observation sent successfully",{sessionId:i,toolName:t})}catch(c){throw c.cause?.code==="ECONNREFUSED"||c.name==="TimeoutError"||c.message.includes("fetch failed")?new Error("There's a problem with the worker. If you just updated, type `pm2 restart claude-mem-worker` in your terminal to continue"):c}console.log(f("PostToolUse",!0))}var L="";D.on("data",d=>L+=d);D.on("end",async()=>{let d=L?JSON.parse(L):void 0;await K(d)});
If the problem persists, run: pm2 restart claude-mem-worker`)}var Y=new Set(["ListMcpResourcesTool","SlashCommand","Skill","TodoWrite","AskUserQuestion"]);async function K(d){if(!d)throw new Error("saveHook requires input");let{session_id:e,cwd:s,tool_name:t,tool_input:r,tool_response:n}=d;if(Y.has(t)){console.log(f("PostToolUse",!0));return}await y();let o=new R,i=o.createSDKSession(e,"",""),p=o.getPromptCounter(i);o.close();let u=S.formatTool(t,r),E=h();S.dataIn("HOOK",`PostToolUse: ${u}`,{sessionId:i,workerPort:E});try{let c=await fetch(`http://127.0.0.1:${E}/sessions/${i}/observations`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({tool_name:t,tool_input:r!==void 0?JSON.stringify(r):"{}",tool_response:n!==void 0?JSON.stringify(n):"{}",prompt_number:p,cwd:s||""}),signal:AbortSignal.timeout(2e3)});if(!c.ok){let b=await c.text();throw S.failure("HOOK","Failed to send observation",{sessionId:i,status:c.status},b),new Error(`Failed to send observation to worker: ${c.status} ${b}`)}S.debug("HOOK","Observation sent successfully",{sessionId:i,toolName:t})}catch(c){throw c.cause?.code==="ECONNREFUSED"||c.name==="TimeoutError"||c.message.includes("fetch failed")?new Error("There's a problem with the worker. If you just updated, type `pm2 restart claude-mem-worker` in your terminal to continue"):c}console.log(f("PostToolUse",!0))}var L="";D.on("data",d=>L+=d);D.on("end",async()=>{let d=L?JSON.parse(L):void 0;await K(d)});
plugin/scripts/summary-hook.js
+46 -33
View File
@@ -1,7 +1,7 @@
#!/usr/bin/env node
import{stdin as D}from"process";import{readFileSync as Y,existsSync as K}from"fs";import X from"better-sqlite3";import{join as u,dirname as U,basename as z}from"path";import{homedir as L}from"os";import{existsSync as te,mkdirSync as M}from"fs";import{fileURLToPath as w}from"url";function F(){return typeof __dirname<"u"?__dirname:U(w(import.meta.url))}var ne=F(),E=process.env.CLAUDE_MEM_DATA_DIR||u(L(),".claude-mem"),N=process.env.CLAUDE_CONFIG_DIR||u(L(),".claude"),oe=u(E,"archives"),ie=u(E,"logs"),ae=u(E,"trash"),pe=u(E,"backups"),de=u(E,"settings.json"),A=u(E,"claude-mem.db"),ce=u(E,"vector-db"),_e=u(N,"settings.json"),ue=u(N,"commands"),me=u(N,"CLAUDE.md");function C(a){M(a,{recursive:!0})}var O=(n=>(n[n.DEBUG=0]="DEBUG",n[n.INFO=1]="INFO",n[n.WARN=2]="WARN",n[n.ERROR=3]="ERROR",n[n.SILENT=4]="SILENT",n))(O||{}),f=class{level;useColor;constructor(){let e=process.env.CLAUDE_MEM_LOG_LEVEL?.toUpperCase()||"INFO";this.level=O[e]??1,this.useColor=process.stdout.isTTY??!1}correlationId(e,s){return`obs-${e}-${s}`}sessionId(e){return`session-${e}`}formatData(e){if(e==null)return"";if(typeof e=="string")return e;if(typeof e=="number"||typeof e=="boolean")return e.toString();if(typeof e=="object"){if(e instanceof Error)return this.level===0?`${e.message}
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`+JSON.stringify(n,null,2):m=" "+this.formatData(n));let S="";if(r){let{sessionId:l,sdkSessionId:g,correlationId:c,...p}=r;Object.keys(p).length>0&&(S=` {${Object.entries(p).map(([k,x])=>`${k}=${x}`).join(", ")}}`)}let b=`[${i}] [${o}] [${d}] ${_}${t}${S}${m}`;e===3?console.error(b):console.log(b)}debug(e,s,t,r){this.log(0,e,s,t,r)}info(e,s,t,r){this.log(1,e,s,t,r)}warn(e,s,t,r){this.log(2,e,s,t,r)}error(e,s,t,r){this.log(3,e,s,t,r)}dataIn(e,s,t,r){this.info(e,`\u2192 ${s}`,t,r)}dataOut(e,s,t,r){this.info(e,`\u2190 ${s}`,t,r)}success(e,s,t,r){this.info(e,`\u2713 ${s}`,t,r)}failure(e,s,t,r){this.error(e,`\u2717 ${s}`,t,r)}timing(e,s,t,r){this.info(e,`\u23F1 ${s}`,r,{duration:`${t}ms`})}},T=new f;var R=class{db;constructor(){C(E),this.db=new X(A),this.db.pragma("journal_mode = WAL"),this.db.pragma("synchronous = NORMAL"),this.db.pragma("foreign_keys = ON"),this.initializeSchema(),this.ensureWorkerPortColumn(),this.ensurePromptTrackingColumns(),this.removeSessionSummariesUniqueConstraint(),this.addObservationHierarchicalFields(),this.makeObservationsTextNullable(),this.createUserPromptsTable()}initializeSchema(){try{this.db.exec(`
import{stdin as k}from"process";import{readFileSync as x,existsSync as U}from"fs";import B from"better-sqlite3";import{join as m,dirname as F,basename as ne}from"path";import{homedir as A}from"os";import{existsSync as de,mkdirSync as X}from"fs";import{fileURLToPath as H}from"url";function j(){return typeof __dirname<"u"?__dirname:F(H(import.meta.url))}var ce=j(),E=process.env.CLAUDE_MEM_DATA_DIR||m(A(),".claude-mem"),f=process.env.CLAUDE_CONFIG_DIR||m(A(),".claude"),ue=m(E,"archives"),_e=m(E,"logs"),me=m(E,"trash"),le=m(E,"backups"),Ee=m(E,"settings.json"),y=m(E,"claude-mem.db"),Te=m(E,"vector-db"),ge=m(f,"settings.json"),Se=m(f,"commands"),be=m(f,"CLAUDE.md");function C(i){X(i,{recursive:!0})}var O=(n=>(n[n.DEBUG=0]="DEBUG",n[n.INFO=1]="INFO",n[n.WARN=2]="WARN",n[n.ERROR=3]="ERROR",n[n.SILENT=4]="SILENT",n))(O||{}),N=class{level;useColor;constructor(){let e=process.env.CLAUDE_MEM_LOG_LEVEL?.toUpperCase()||"INFO";this.level=O[e]??1,this.useColor=process.stdout.isTTY??!1}correlationId(e,s){return`obs-${e}-${s}`}sessionId(e){return`session-${e}`}formatData(e){if(e==null)return"";if(typeof e=="string")return e;if(typeof e=="number"||typeof e=="boolean")return e.toString();if(typeof e=="object"){if(e instanceof Error)return this.level===0?`${e.message}
${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Object.keys(e);return s.length===0?"{}":s.length<=3?JSON.stringify(e):`{${s.length} keys: ${s.slice(0,3).join(", ")}...}`}return String(e)}formatTool(e,s){if(!s)return e;try{let t=typeof s=="string"?JSON.parse(s):s;if(e==="Bash"&&t.command){let r=t.command.length>50?t.command.substring(0,50)+"...":t.command;return`${e}(${r})`}if(e==="Read"&&t.file_path){let r=t.file_path.split("/").pop()||t.file_path;return`${e}(${r})`}if(e==="Edit"&&t.file_path){let r=t.file_path.split("/").pop()||t.file_path;return`${e}(${r})`}if(e==="Write"&&t.file_path){let r=t.file_path.split("/").pop()||t.file_path;return`${e}(${r})`}return e}catch{return e}}log(e,s,t,r,n){if(e<this.level)return;let a=new Date().toISOString().replace("T"," ").substring(0,23),o=O[e].padEnd(5),d=s.padEnd(6),c="";r?.correlationId?c=`[${r.correlationId}] `:r?.sessionId&&(c=`[session-${r.sessionId}] `);let u="";n!=null&&(this.level===0&&typeof n=="object"?u=`
`+JSON.stringify(n,null,2):u=" "+this.formatData(n));let l="";if(r){let{sessionId:T,sdkSessionId:S,correlationId:_,...p}=r;Object.keys(p).length>0&&(l=` {${Object.entries(p).map(([M,w])=>`${M}=${w}`).join(", ")}}`)}let b=`[${a}] [${o}] [${d}] ${c}${t}${l}${u}`;e===3?console.error(b):console.log(b)}debug(e,s,t,r){this.log(0,e,s,t,r)}info(e,s,t,r){this.log(1,e,s,t,r)}warn(e,s,t,r){this.log(2,e,s,t,r)}error(e,s,t,r){this.log(3,e,s,t,r)}dataIn(e,s,t,r){this.info(e,`\u2192 ${s}`,t,r)}dataOut(e,s,t,r){this.info(e,`\u2190 ${s}`,t,r)}success(e,s,t,r){this.info(e,`\u2713 ${s}`,t,r)}failure(e,s,t,r){this.error(e,`\u2717 ${s}`,t,r)}timing(e,s,t,r){this.info(e,`\u23F1 ${s}`,r,{duration:`${t}ms`})}},g=new N;var R=class{db;constructor(){C(E),this.db=new B(y),this.db.pragma("journal_mode = WAL"),this.db.pragma("synchronous = NORMAL"),this.db.pragma("foreign_keys = ON"),this.initializeSchema(),this.ensureWorkerPortColumn(),this.ensurePromptTrackingColumns(),this.removeSessionSummariesUniqueConstraint(),this.addObservationHierarchicalFields(),this.makeObservationsTextNullable(),this.createUserPromptsTable()}initializeSchema(){try{this.db.exec(`
CREATE TABLE IF NOT EXISTS schema_versions (
id INTEGER PRIMARY KEY,
version INTEGER UNIQUE NOT NULL,
@@ -244,12 +244,12 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
SELECT *
FROM observations
WHERE id = ?
`).get(e)||null}getObservationsByIds(e,s={}){if(e.length===0)return[];let{orderBy:t="date_desc",limit:r}=s,n=t==="date_asc"?"ASC":"DESC",i=r?`LIMIT ${r}`:"",o=e.map(()=>"?").join(",");return this.db.prepare(`
`).get(e)||null}getObservationsByIds(e,s={}){if(e.length===0)return[];let{orderBy:t="date_desc",limit:r}=s,n=t==="date_asc"?"ASC":"DESC",a=r?`LIMIT ${r}`:"",o=e.map(()=>"?").join(",");return this.db.prepare(`
SELECT *
FROM observations
WHERE id IN (${o})
ORDER BY created_at_epoch ${n}
${i}
${a}
`).all(...e)}getSummaryForSession(e){return this.db.prepare(`
SELECT
request, investigated, learned, completed, next_steps,
@@ -262,7 +262,7 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
SELECT files_read, files_modified
FROM observations
WHERE sdk_session_id = ?
`).all(e),r=new Set,n=new Set;for(let i of t){if(i.files_read)try{let o=JSON.parse(i.files_read);Array.isArray(o)&&o.forEach(d=>r.add(d))}catch{}if(i.files_modified)try{let o=JSON.parse(i.files_modified);Array.isArray(o)&&o.forEach(d=>n.add(d))}catch{}}return{filesRead:Array.from(r),filesModified:Array.from(n)}}getSessionById(e){return this.db.prepare(`
`).all(e),r=new Set,n=new Set;for(let a of t){if(a.files_read)try{let o=JSON.parse(a.files_read);Array.isArray(o)&&o.forEach(d=>r.add(d))}catch{}if(a.files_modified)try{let o=JSON.parse(a.files_modified);Array.isArray(o)&&o.forEach(d=>n.add(d))}catch{}}return{filesRead:Array.from(r),filesModified:Array.from(n)}}getSessionById(e){return this.db.prepare(`
SELECT id, claude_session_id, sdk_session_id, project, user_prompt
FROM sdk_sessions
WHERE id = ?
@@ -299,7 +299,7 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
UPDATE sdk_sessions
SET sdk_session_id = ?
WHERE id = ? AND sdk_session_id IS NULL
`).run(s,e).changes===0?(T.debug("DB","sdk_session_id already set, skipping update",{sessionId:e,sdkSessionId:s}),!1):!0}setWorkerPort(e,s){this.db.prepare(`
`).run(s,e).changes===0?(g.debug("DB","sdk_session_id already set, skipping update",{sessionId:e,sdkSessionId:s}),!1):!0}setWorkerPort(e,s){this.db.prepare(`
UPDATE sdk_sessions
SET worker_port = ?
WHERE id = ?
@@ -312,29 +312,29 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
INSERT INTO user_prompts
(claude_session_id, prompt_number, prompt_text, created_at, created_at_epoch)
VALUES (?, ?, ?, ?, ?)
`).run(e,s,t,r.toISOString(),n).lastInsertRowid}storeObservation(e,s,t,r){let n=new Date,i=n.getTime();this.db.prepare(`
`).run(e,s,t,r.toISOString(),n).lastInsertRowid}storeObservation(e,s,t,r){let n=new Date,a=n.getTime();this.db.prepare(`
SELECT id FROM sdk_sessions WHERE sdk_session_id = ?
`).get(e)||(this.db.prepare(`
INSERT INTO sdk_sessions
(claude_session_id, sdk_session_id, project, started_at, started_at_epoch, status)
VALUES (?, ?, ?, ?, ?, 'active')
`).run(e,e,s,n.toISOString(),i),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let m=this.db.prepare(`
`).run(e,e,s,n.toISOString(),a),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let u=this.db.prepare(`
INSERT INTO observations
(sdk_session_id, project, type, title, subtitle, facts, narrative, concepts,
files_read, files_modified, prompt_number, created_at, created_at_epoch)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
`).run(e,s,t.type,t.title,t.subtitle,JSON.stringify(t.facts),t.narrative,JSON.stringify(t.concepts),JSON.stringify(t.files_read),JSON.stringify(t.files_modified),r||null,n.toISOString(),i);return{id:Number(m.lastInsertRowid),createdAtEpoch:i}}storeSummary(e,s,t,r){let n=new Date,i=n.getTime();this.db.prepare(`
`).run(e,s,t.type,t.title,t.subtitle,JSON.stringify(t.facts),t.narrative,JSON.stringify(t.concepts),JSON.stringify(t.files_read),JSON.stringify(t.files_modified),r||null,n.toISOString(),a);return{id:Number(u.lastInsertRowid),createdAtEpoch:a}}storeSummary(e,s,t,r){let n=new Date,a=n.getTime();this.db.prepare(`
SELECT id FROM sdk_sessions WHERE sdk_session_id = ?
`).get(e)||(this.db.prepare(`
INSERT INTO sdk_sessions
(claude_session_id, sdk_session_id, project, started_at, started_at_epoch, status)
VALUES (?, ?, ?, ?, ?, 'active')
`).run(e,e,s,n.toISOString(),i),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let m=this.db.prepare(`
`).run(e,e,s,n.toISOString(),a),console.error(`[SessionStore] Auto-created session record for session_id: ${e}`));let u=this.db.prepare(`
INSERT INTO session_summaries
(sdk_session_id, project, request, investigated, learned, completed,
next_steps, notes, prompt_number, created_at, created_at_epoch)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
`).run(e,s,t.request,t.investigated,t.learned,t.completed,t.next_steps,t.notes,r||null,n.toISOString(),i);return{id:Number(m.lastInsertRowid),createdAtEpoch:i}}markSessionCompleted(e){let s=new Date,t=s.getTime();this.db.prepare(`
`).run(e,s,t.request,t.investigated,t.learned,t.completed,t.next_steps,t.notes,r||null,n.toISOString(),a);return{id:Number(u.lastInsertRowid),createdAtEpoch:a}}markSessionCompleted(e){let s=new Date,t=s.getTime();this.db.prepare(`
UPDATE sdk_sessions
SET status = 'completed', completed_at = ?, completed_at_epoch = ?
WHERE id = ?
@@ -342,12 +342,12 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
UPDATE sdk_sessions
SET status = 'failed', completed_at = ?, completed_at_epoch = ?
WHERE id = ?
`).run(s.toISOString(),t,e)}getSessionSummariesByIds(e,s={}){if(e.length===0)return[];let{orderBy:t="date_desc",limit:r}=s,n=t==="date_asc"?"ASC":"DESC",i=r?`LIMIT ${r}`:"",o=e.map(()=>"?").join(",");return this.db.prepare(`
`).run(s.toISOString(),t,e)}getSessionSummariesByIds(e,s={}){if(e.length===0)return[];let{orderBy:t="date_desc",limit:r}=s,n=t==="date_asc"?"ASC":"DESC",a=r?`LIMIT ${r}`:"",o=e.map(()=>"?").join(",");return this.db.prepare(`
SELECT * FROM session_summaries
WHERE id IN (${o})
ORDER BY created_at_epoch ${n}
${i}
`).all(...e)}getUserPromptsByIds(e,s={}){if(e.length===0)return[];let{orderBy:t="date_desc",limit:r}=s,n=t==="date_asc"?"ASC":"DESC",i=r?`LIMIT ${r}`:"",o=e.map(()=>"?").join(",");return this.db.prepare(`
${a}
`).all(...e)}getUserPromptsByIds(e,s={}){if(e.length===0)return[];let{orderBy:t="date_desc",limit:r}=s,n=t==="date_asc"?"ASC":"DESC",a=r?`LIMIT ${r}`:"",o=e.map(()=>"?").join(",");return this.db.prepare(`
SELECT
up.*,
s.project,
@@ -356,50 +356,63 @@ ${e.stack}`:e.message;if(Array.isArray(e))return`[${e.length} items]`;let s=Obje
JOIN sdk_sessions s ON up.claude_session_id = s.claude_session_id
WHERE up.id IN (${o})
ORDER BY up.created_at_epoch ${n}
${i}
`).all(...e)}getTimelineAroundTimestamp(e,s=10,t=10,r){return this.getTimelineAroundObservation(null,e,s,t,r)}getTimelineAroundObservation(e,s,t=10,r=10,n){let i=n?"AND project = ?":"",o=n?[n]:[],d,_;if(e!==null){let l=`
${a}
`).all(...e)}getTimelineAroundTimestamp(e,s=10,t=10,r){return this.getTimelineAroundObservation(null,e,s,t,r)}getTimelineAroundObservation(e,s,t=10,r=10,n){let a=n?"AND project = ?":"",o=n?[n]:[],d,c;if(e!==null){let T=`
SELECT id, created_at_epoch
FROM observations
WHERE id <= ? ${i}
WHERE id <= ? ${a}
ORDER BY id DESC
LIMIT ?
`,g=`
`,S=`
SELECT id, created_at_epoch
FROM observations
WHERE id >= ? ${i}
WHERE id >= ? ${a}
ORDER BY id ASC
LIMIT ?
`;try{let c=this.db.prepare(l).all(e,...o,t+1),p=this.db.prepare(g).all(e,...o,r+1);if(c.length===0&&p.length===0)return{observations:[],sessions:[],prompts:[]};d=c.length>0?c[c.length-1].created_at_epoch:s,_=p.length>0?p[p.length-1].created_at_epoch:s}catch(c){return console.error("[SessionStore] Error getting boundary observations:",c.message),{observations:[],sessions:[],prompts:[]}}}else{let l=`
`;try{let _=this.db.prepare(T).all(e,...o,t+1),p=this.db.prepare(S).all(e,...o,r+1);if(_.length===0&&p.length===0)return{observations:[],sessions:[],prompts:[]};d=_.length>0?_[_.length-1].created_at_epoch:s,c=p.length>0?p[p.length-1].created_at_epoch:s}catch(_){return console.error("[SessionStore] Error getting boundary observations:",_.message),{observations:[],sessions:[],prompts:[]}}}else{let T=`
SELECT created_at_epoch
FROM observations
WHERE created_at_epoch <= ? ${i}
WHERE created_at_epoch <= ? ${a}
ORDER BY created_at_epoch DESC
LIMIT ?
`,g=`
`,S=`
SELECT created_at_epoch
FROM observations
WHERE created_at_epoch >= ? ${i}
WHERE created_at_epoch >= ? ${a}
ORDER BY created_at_epoch ASC
LIMIT ?
`;try{let c=this.db.prepare(l).all(s,...o,t),p=this.db.prepare(g).all(s,...o,r+1);if(c.length===0&&p.length===0)return{observations:[],sessions:[],prompts:[]};d=c.length>0?c[c.length-1].created_at_epoch:s,_=p.length>0?p[p.length-1].created_at_epoch:s}catch(c){return console.error("[SessionStore] Error getting boundary timestamps:",c.message),{observations:[],sessions:[],prompts:[]}}}let m=`
`;try{let _=this.db.prepare(T).all(s,...o,t),p=this.db.prepare(S).all(s,...o,r+1);if(_.length===0&&p.length===0)return{observations:[],sessions:[],prompts:[]};d=_.length>0?_[_.length-1].created_at_epoch:s,c=p.length>0?p[p.length-1].created_at_epoch:s}catch(_){return console.error("[SessionStore] Error getting boundary timestamps:",_.message),{observations:[],sessions:[],prompts:[]}}}let u=`
SELECT *
FROM observations
WHERE created_at_epoch >= ? AND created_at_epoch <= ? ${i}
WHERE created_at_epoch >= ? AND created_at_epoch <= ? ${a}
ORDER BY created_at_epoch ASC
`,S=`
`,l=`
SELECT *
FROM session_summaries
WHERE created_at_epoch >= ? AND created_at_epoch <= ? ${i}
WHERE created_at_epoch >= ? AND created_at_epoch <= ? ${a}
ORDER BY created_at_epoch ASC
`,b=`
SELECT up.*, s.project, s.sdk_session_id
FROM user_prompts up
JOIN sdk_sessions s ON up.claude_session_id = s.claude_session_id
WHERE up.created_at_epoch >= ? AND up.created_at_epoch <= ? ${i.replace("project","s.project")}
WHERE up.created_at_epoch >= ? AND up.created_at_epoch <= ? ${a.replace("project","s.project")}
ORDER BY up.created_at_epoch ASC
`;try{let l=this.db.prepare(m).all(d,_,...o),g=this.db.prepare(S).all(d,_,...o),c=this.db.prepare(b).all(d,_,...o);return{observations:l,sessions:g.map(p=>({id:p.id,sdk_session_id:p.sdk_session_id,project:p.project,request:p.request,completed:p.completed,next_steps:p.next_steps,created_at:p.created_at,created_at_epoch:p.created_at_epoch})),prompts:c.map(p=>({id:p.id,claude_session_id:p.claude_session_id,project:p.project,prompt:p.prompt_text,created_at:p.created_at,created_at_epoch:p.created_at_epoch}))}}catch(l){return console.error("[SessionStore] Error querying timeline records:",l.message),{observations:[],sessions:[],prompts:[]}}}close(){this.db.close()}};function H(a,e,s){return a==="PreCompact"?e?{continue:!0,suppressOutput:!0}:{continue:!1,stopReason:s.reason||"Pre-compact operation failed",suppressOutput:!0}:a==="SessionStart"?e&&s.context?{continue:!0,suppressOutput:!0,hookSpecificOutput:{hookEventName:"SessionStart",additionalContext:s.context}}:{continue:!0,suppressOutput:!0}:a==="UserPromptSubmit"||a==="PostToolUse"?{continue:!0,suppressOutput:!0}:a==="Stop"?{continue:!0,suppressOutput:!0}:{continue:e,suppressOutput:!0,...s.reason&&!e?{stopReason:s.reason}:{}}}function y(a,e,s={}){let t=H(a,e,s);return JSON.stringify(t)}import B from"path";import{homedir as P}from"os";import{existsSync as j,readFileSync as $}from"fs";var W=100;function h(){try{let a=B.join(P(),".claude-mem","settings.json");if(j(a)){let e=JSON.parse($(a,"utf-8")),s=parseInt(e.env?.CLAUDE_MEM_WORKER_PORT,10);if(!isNaN(s))return s}}catch{}return parseInt(process.env.CLAUDE_MEM_WORKER_PORT||"37777",10)}async function G(){try{let a=h();return(await fetch(`http://127.0.0.1:${a}/health`,{signal:AbortSignal.timeout(W)})).ok}catch{return!1}}async function v(){if(await G())return;let a=h();throw new Error(`Worker service is not responding on port ${a}.
`;try{let T=this.db.prepare(u).all(d,c,...o),S=this.db.prepare(l).all(d,c,...o),_=this.db.prepare(b).all(d,c,...o);return{observations:T,sessions:S.map(p=>({id:p.id,sdk_session_id:p.sdk_session_id,project:p.project,request:p.request,completed:p.completed,next_steps:p.next_steps,created_at:p.created_at,created_at_epoch:p.created_at_epoch})),prompts:_.map(p=>({id:p.id,claude_session_id:p.claude_session_id,project:p.project,prompt:p.prompt_text,created_at:p.created_at,created_at_epoch:p.created_at_epoch}))}}catch(T){return console.error("[SessionStore] Error querying timeline records:",T.message),{observations:[],sessions:[],prompts:[]}}}close(){this.db.close()}};function P(i,e,s){return i==="PreCompact"?e?{continue:!0,suppressOutput:!0}:{continue:!1,stopReason:s.reason||"Pre-compact operation failed",suppressOutput:!0}:i==="SessionStart"?e&&s.context?{continue:!0,suppressOutput:!0,hookSpecificOutput:{hookEventName:"SessionStart",additionalContext:s.context}}:{continue:!0,suppressOutput:!0}:i==="UserPromptSubmit"||i==="PostToolUse"?{continue:!0,suppressOutput:!0}:i==="Stop"?{continue:!0,suppressOutput:!0}:{continue:e,suppressOutput:!0,...s.reason&&!e?{stopReason:s.reason}:{}}}function v(i,e,s={}){let t=P(i,e,s);return JSON.stringify(t)}import $ from"path";import{homedir as W}from"os";import{existsSync as G,readFileSync as Y}from"fs";var K=100;function h(){try{let i=$.join(W(),".claude-mem","settings.json");if(G(i)){let e=JSON.parse(Y(i,"utf-8")),s=parseInt(e.env?.CLAUDE_MEM_WORKER_PORT,10);if(!isNaN(s))return s}}catch{}return parseInt(process.env.CLAUDE_MEM_WORKER_PORT||"37777",10)}async function q(){try{let i=h();return(await fetch(`http://127.0.0.1:${i}/health`,{signal:AbortSignal.timeout(K)})).ok}catch{return!1}}async function D(){if(await q())return;let i=h();throw new Error(`Worker service is not responding on port ${i}.
If you just updated the plugin, PM2's watch mode should restart automatically.
If the problem persists, run: pm2 restart claude-mem-worker`)}function q(a){if(!a||!K(a))return"";try{let e=Y(a,"utf-8").trim();if(!e)return"";let s=e.split(`
`);for(let t=s.length-1;t>=0;t--)try{let r=JSON.parse(s[t]);if(r.role==="user"&&r.content){if(typeof r.content=="string")return r.content;if(Array.isArray(r.content))return r.content.filter(i=>i.type==="text").map(i=>i.text).join(`
`)}}catch{continue}}catch(e){T.error("HOOK","Failed to read transcript",{transcriptPath:a},e)}return""}async function V(a){if(!a)throw new Error("summaryHook requires input");let{session_id:e}=a;await v();let s=new R,t=s.createSDKSession(e,"",""),r=s.getPromptCounter(t);s.close();let n=h(),i=q(a.transcript_path||"");T.dataIn("HOOK","Stop: Requesting summary",{sessionId:t,workerPort:n,promptNumber:r,hasLastUserMessage:!!i});try{let o=await fetch(`http://127.0.0.1:${n}/sessions/${t}/summarize`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({prompt_number:r,last_user_message:i}),signal:AbortSignal.timeout(2e3)});if(!o.ok){let d=await o.text();throw T.failure("HOOK","Failed to generate summary",{sessionId:t,status:o.status},d),new Error(`Failed to request summary from worker: ${o.status} ${d}`)}T.debug("HOOK","Summary request sent successfully",{sessionId:t})}catch(o){throw o.cause?.code==="ECONNREFUSED"||o.name==="TimeoutError"||o.message.includes("fetch failed")?new Error("There's a problem with the worker. If you just updated, type `pm2 restart claude-mem-worker` in your terminal to continue"):o}finally{await fetch(`http://127.0.0.1:${n}/api/processing`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({isProcessing:!1})})}console.log(y("Stop",!0))}var I="";D.on("data",a=>I+=a);D.on("end",async()=>{let a=I?JSON.parse(I):void 0;await V(a)});
If the problem persists, run: pm2 restart claude-mem-worker`)}import{appendFileSync as V}from"fs";import{homedir as J}from"os";import{join as Q}from"path";var z=Q(J(),".claude-mem","silent.log");function I(i,e,s=""){let t=new Date().toISOString(),o=((new Error().stack||"").split(`
`)[2]||"").match(/at\s+(?:.*\s+)?\(?([^:]+):(\d+):(\d+)\)?/),d=o?`${o[1].split("/").pop()}:${o[2]}`:"unknown",c=`[${t}] [${d}] ${i}`;if(e!==void 0)try{c+=` ${JSON.stringify(e)}`}catch(u){c+=` [stringify error: ${u}]`}c+=`
`;try{V(z,c)}catch(u){console.error("[silent-debug] Failed to write to log:",u)}return s}function Z(i){if(!i||!U(i))return"";try{let e=x(i,"utf-8").trim();if(!e)return"";let s=e.split(`
`);for(let t=s.length-1;t>=0;t--)try{let r=JSON.parse(s[t]);if(r.type==="user"&&r.message?.content){let n=r.message.content;if(typeof n=="string")return n;if(Array.isArray(n))return n.filter(o=>o.type==="text").map(o=>o.text).join(`
`)}}catch{continue}}catch(e){g.error("HOOK","Failed to read transcript",{transcriptPath:i},e)}return""}function ee(i){if(!i||!U(i))return"";try{let e=x(i,"utf-8").trim();if(!e)return"";let s=e.split(`
`);for(let t=s.length-1;t>=0;t--)try{let r=JSON.parse(s[t]);if(r.type==="assistant"&&r.message?.content){let n="",a=r.message.content;return typeof a=="string"?n=a:Array.isArray(a)&&(n=a.filter(d=>d.type==="text").map(d=>d.text).join(`
`)),n=n.replace(/<system-reminder>[\s\S]*?<\/system-reminder>/g,""),n=n.replace(/\n{3,}/g,`
`).trim(),n}}catch{continue}}catch(e){g.error("HOOK","Failed to read transcript",{transcriptPath:i},e)}return""}async function se(i){if(!i)throw new Error("summaryHook requires input");let{session_id:e}=i;await D();let s=new R,t=s.createSDKSession(e,"",""),r=s.getPromptCounter(t),n=s.db.prepare(`
SELECT id, claude_session_id, sdk_session_id, project
FROM sdk_sessions WHERE id = ?
`).get(t),a=s.db.prepare(`
SELECT COUNT(*) as count
FROM observations
WHERE sdk_session_id = ?
`).get(n?.sdk_session_id);I("[summary-hook] Session diagnostics",{claudeSessionId:e,sessionDbId:t,sdkSessionId:n?.sdk_session_id,project:n?.project,promptNumber:r,observationCount:a?.count||0,transcriptPath:i.transcript_path}),s.close();let o=h(),d=Z(i.transcript_path||""),c=ee(i.transcript_path||"");I("[summary-hook] Extracted messages",{hasLastUserMessage:!!d,hasLastAssistantMessage:!!c,lastAssistantPreview:c.substring(0,200),lastAssistantLength:c.length}),g.dataIn("HOOK","Stop: Requesting summary",{sessionId:t,workerPort:o,promptNumber:r,hasLastUserMessage:!!d,hasLastAssistantMessage:!!c});try{let u=await fetch(`http://127.0.0.1:${o}/sessions/${t}/summarize`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({prompt_number:r,last_user_message:d,last_assistant_message:c}),signal:AbortSignal.timeout(2e3)});if(!u.ok){let l=await u.text();throw g.failure("HOOK","Failed to generate summary",{sessionId:t,status:u.status},l),new Error(`Failed to request summary from worker: ${u.status} ${l}`)}g.debug("HOOK","Summary request sent successfully",{sessionId:t})}catch(u){throw u.cause?.code==="ECONNREFUSED"||u.name==="TimeoutError"||u.message.includes("fetch failed")?new Error("There's a problem with the worker. If you just updated, type `pm2 restart claude-mem-worker` in your terminal to continue"):u}finally{await fetch(`http://127.0.0.1:${o}/api/processing`,{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({isProcessing:!1})})}console.log(v("Stop",!0))}var L="";k.on("data",i=>L+=i);k.on("end",async()=>{let i=L?JSON.parse(L):void 0;await se(i)});
plugin/scripts/worker-service.cjs
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scripts/debug-transcript-structure.ts
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#!/usr/bin/env tsx
/**
* Debug Transcript Structure
* Examines the first few entries to understand the conversation flow
*/
import { TranscriptParser } from '../src/utils/transcript-parser.js';
const transcriptPath = process.argv[2];
if (!transcriptPath) {
console.error('Usage: tsx scripts/debug-transcript-structure.ts <path-to-transcript.jsonl>');
process.exit(1);
}
const parser = new TranscriptParser(transcriptPath);
const entries = parser.getAllEntries();
console.log(`Total entries: ${entries.length}\n`);
// Count entry types
const typeCounts: Record<string, number> = {};
for (const entry of entries) {
typeCounts[entry.type] = (typeCounts[entry.type] || 0) + 1;
}
console.log('Entry types:');
for (const [type, count] of Object.entries(typeCounts)) {
console.log(` ${type}: ${count}`);
}
// Find first user and assistant entries
const firstUser = entries.find(e => e.type === 'user');
const firstAssistant = entries.find(e => e.type === 'assistant');
if (firstUser) {
const userIndex = entries.indexOf(firstUser);
console.log(`\n\n=== First User Entry (index ${userIndex}) ===`);
console.log(`Timestamp: ${firstUser.timestamp}`);
if (typeof firstUser.content === 'string') {
console.log(`Content (string): ${firstUser.content.substring(0, 200)}...`);
} else if (Array.isArray(firstUser.content)) {
console.log(`Content blocks: ${firstUser.content.length}`);
for (const block of firstUser.content) {
if (block.type === 'text') {
console.log(` - text: ${(block as any).text?.substring(0, 200)}...`);
} else {
console.log(` - ${block.type}`);
}
}
}
}
if (firstAssistant) {
const assistantIndex = entries.indexOf(firstAssistant);
console.log(`\n\n=== First Assistant Entry (index ${assistantIndex}) ===`);
console.log(`Timestamp: ${firstAssistant.timestamp}`);
if (Array.isArray(firstAssistant.content)) {
console.log(`Content blocks: ${firstAssistant.content.length}`);
for (const block of firstAssistant.content) {
if (block.type === 'text') {
console.log(` - text: ${(block as any).text?.substring(0, 200)}...`);
} else if (block.type === 'thinking') {
console.log(` - thinking: ${(block as any).thinking?.substring(0, 200)}...`);
} else if (block.type === 'tool_use') {
console.log(` - tool_use: ${(block as any).name}`);
}
}
}
}
// Find a few more user/assistant pairs
console.log('\n\n=== First 3 Conversation Exchanges ===\n');
let userCount = 0;
let assistantCount = 0;
let exchangeNum = 0;
for (const entry of entries) {
if (entry.type === 'user') {
userCount++;
if (userCount <= 3) {
exchangeNum++;
console.log(`\n--- Exchange ${exchangeNum}: USER ---`);
if (typeof entry.content === 'string') {
console.log(entry.content.substring(0, 150) + (entry.content.length > 150 ? '...' : ''));
} else if (Array.isArray(entry.content)) {
const textBlock = entry.content.find((b: any) => b.type === 'text');
if (textBlock) {
const text = (textBlock as any).text || '';
console.log(text.substring(0, 150) + (text.length > 150 ? '...' : ''));
}
}
}
} else if (entry.type === 'assistant' && userCount <= 3) {
assistantCount++;
if (Array.isArray(entry.content)) {
const textBlock = entry.content.find((b: any) => b.type === 'text');
const toolUses = entry.content.filter((b: any) => b.type === 'tool_use');
console.log(`\n--- Exchange ${exchangeNum}: ASSISTANT ---`);
if (textBlock) {
const text = (textBlock as any).text || '';
console.log(text.substring(0, 150) + (text.length > 150 ? '...' : ''));
}
if (toolUses.length > 0) {
console.log(`\nTools used: ${toolUses.map((t: any) => t.name).join(', ')}`);
}
}
}
if (userCount >= 3 && assistantCount >= 3) break;
}
scripts/dump-transcript-readable.ts
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#!/usr/bin/env tsx
/**
* Simple 1:1 transcript dump in readable markdown format
* Shows exactly what's in the transcript, chronologically
*/
import { TranscriptParser } from '../src/utils/transcript-parser.js';
import { writeFileSync } from 'fs';
const transcriptPath = process.argv[2];
if (!transcriptPath) {
console.error('Usage: tsx scripts/dump-transcript-readable.ts <path-to-transcript.jsonl>');
process.exit(1);
}
const parser = new TranscriptParser(transcriptPath);
const entries = parser.getAllEntries();
let output = '# Transcript Dump\n\n';
output += `Total entries: ${entries.length}\n\n`;
output += '---\n\n';
let entryNum = 0;
for (const entry of entries) {
entryNum++;
// Skip file-history-snapshot and summary entries for now
if (entry.type === 'file-history-snapshot' || entry.type === 'summary') continue;
output += `## Entry ${entryNum}: ${entry.type.toUpperCase()}\n`;
output += `**Timestamp:** ${entry.timestamp}\n\n`;
if (entry.type === 'user') {
const content = entry.message.content;
if (typeof content === 'string') {
output += `**Content:**\n\`\`\`\n${content}\n\`\`\`\n\n`;
} else if (Array.isArray(content)) {
for (const block of content) {
if (block.type === 'text') {
output += `**Text:**\n\`\`\`\n${(block as any).text}\n\`\`\`\n\n`;
} else if (block.type === 'tool_result') {
output += `**Tool Result (${(block as any).tool_use_id}):**\n`;
const resultContent = (block as any).content;
if (typeof resultContent === 'string') {
const preview = resultContent.substring(0, 500);
output += `\`\`\`\n${preview}${resultContent.length > 500 ? '\n...(truncated)' : ''}\n\`\`\`\n\n`;
} else {
output += `\`\`\`json\n${JSON.stringify(resultContent, null, 2).substring(0, 500)}\n\`\`\`\n\n`;
}
}
}
}
}
if (entry.type === 'assistant') {
const content = entry.message.content;
if (Array.isArray(content)) {
for (const block of content) {
if (block.type === 'text') {
output += `**Text:**\n\`\`\`\n${(block as any).text}\n\`\`\`\n\n`;
} else if (block.type === 'thinking') {
output += `**Thinking:**\n\`\`\`\n${(block as any).thinking}\n\`\`\`\n\n`;
} else if (block.type === 'tool_use') {
const tool = block as any;
output += `**Tool Use: ${tool.name}**\n`;
output += `\`\`\`json\n${JSON.stringify(tool.input, null, 2)}\n\`\`\`\n\n`;
}
}
}
// Show token usage if available
const usage = entry.message.usage;
if (usage) {
output += `**Usage:**\n`;
output += `- Input: ${usage.input_tokens || 0}\n`;
output += `- Output: ${usage.output_tokens || 0}\n`;
output += `- Cache creation: ${usage.cache_creation_input_tokens || 0}\n`;
output += `- Cache read: ${usage.cache_read_input_tokens || 0}\n\n`;
}
}
output += '---\n\n';
// Limit to first 20 entries to keep file manageable
if (entryNum >= 20) {
output += `\n_Remaining ${entries.length - 20} entries omitted for brevity_\n`;
break;
}
}
const outputPath = '/Users/alexnewman/Scripts/claude-mem/docs/context/transcript-dump.md';
writeFileSync(outputPath, output, 'utf-8');
console.log(`\nTranscript dumped to: ${outputPath}`);
console.log(`Showing first 20 conversation entries (skipped file-history-snapshot and summary types)\n`);
scripts/extract-rich-context-examples.ts
+177
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#!/usr/bin/env tsx
/**
* Extract Rich Context Examples
* Shows what data we have available for memory worker using TranscriptParser API
*/
import { TranscriptParser } from '../src/utils/transcript-parser.js';
import { writeFileSync } from 'fs';
import type { AssistantTranscriptEntry, UserTranscriptEntry } from '../src/types/transcript.js';
const transcriptPath = process.argv[2];
if (!transcriptPath) {
console.error('Usage: tsx scripts/extract-rich-context-examples.ts <path-to-transcript.jsonl>');
process.exit(1);
}
const parser = new TranscriptParser(transcriptPath);
let output = '# Rich Context Examples\n\n';
output += 'This document shows what contextual data is available in transcripts\n';
output += 'that could improve observation generation quality.\n\n';
// Get stats using parser API
const stats = parser.getParseStats();
const tokens = parser.getTotalTokenUsage();
output += `## Statistics\n\n`;
output += `- Total entries: ${stats.parsedEntries}\n`;
output += `- User messages: ${stats.entriesByType['user'] || 0}\n`;
output += `- Assistant messages: ${stats.entriesByType['assistant'] || 0}\n`;
output += `- Token usage: ${(tokens.inputTokens + tokens.outputTokens).toLocaleString()} total\n`;
output += `- Cache efficiency: ${tokens.cacheReadTokens.toLocaleString()} tokens read from cache\n\n`;
// Extract conversation pairs with tool uses
const assistantEntries = parser.getAssistantEntries();
const userEntries = parser.getUserEntries();
output += `## Conversation Flow\n\n`;
output += `This shows how user requests, assistant reasoning, and tool executions flow together.\n`;
output += `This is the rich context currently missing from individual tool observations.\n\n`;
let examplesFound = 0;
const maxExamples = 5;
// Match assistant entries with their preceding user message
for (let i = 0; i < assistantEntries.length && examplesFound < maxExamples; i++) {
const assistantEntry = assistantEntries[i];
const content = assistantEntry.message.content;
if (!Array.isArray(content)) continue;
// Extract components from assistant message
const textBlocks = content.filter((c: any) => c.type === 'text');
const thinkingBlocks = content.filter((c: any) => c.type === 'thinking');
const toolUseBlocks = content.filter((c: any) => c.type === 'tool_use');
// Skip if no tools or only MCP tools
const regularTools = toolUseBlocks.filter((t: any) =>
!t.name.startsWith('mcp__')
);
if (regularTools.length === 0) continue;
// Find the user message that preceded this assistant response
let userMessage = '';
const assistantTimestamp = new Date(assistantEntry.timestamp).getTime();
for (const userEntry of userEntries) {
const userTimestamp = new Date(userEntry.timestamp).getTime();
if (userTimestamp < assistantTimestamp) {
// Extract user text using parser's helper
const extractText = (content: any): string => {
if (typeof content === 'string') return content;
if (Array.isArray(content)) {
return content
.filter((c: any) => c.type === 'text')
.map((c: any) => c.text)
.join('\n');
}
return '';
};
const text = extractText(userEntry.message.content);
if (text.trim()) {
userMessage = text;
}
}
}
examplesFound++;
output += `---\n\n`;
output += `### Example ${examplesFound}\n\n`;
// 1. User Request
if (userMessage) {
output += `#### 👤 User Request\n`;
const preview = userMessage.substring(0, 400);
output += `\`\`\`\n${preview}${userMessage.length > 400 ? '\n...(truncated)' : ''}\n\`\`\`\n\n`;
}
// 2. Assistant's Explanation (what it plans to do)
if (textBlocks.length > 0) {
const text = textBlocks.map((b: any) => b.text).join('\n');
output += `#### 🤖 Assistant's Plan\n`;
const preview = text.substring(0, 400);
output += `\`\`\`\n${preview}${text.length > 400 ? '\n...(truncated)' : ''}\n\`\`\`\n\n`;
}
// 3. Internal Reasoning (thinking)
if (thinkingBlocks.length > 0) {
const thinking = thinkingBlocks.map((b: any) => b.thinking).join('\n');
output += `#### 💭 Internal Reasoning\n`;
const preview = thinking.substring(0, 300);
output += `\`\`\`\n${preview}${thinking.length > 300 ? '\n...(truncated)' : ''}\n\`\`\`\n\n`;
}
// 4. Tool Executions
output += `#### 🔧 Tools Executed (${regularTools.length})\n\n`;
for (const tool of regularTools) {
const toolData = tool as any;
output += `**${toolData.name}**\n`;
// Show relevant input fields
const input = toolData.input;
if (toolData.name === 'Read') {
output += `- Reading: \`${input.file_path}\`\n`;
} else if (toolData.name === 'Write') {
output += `- Writing: \`${input.file_path}\` (${input.content?.length || 0} chars)\n`;
} else if (toolData.name === 'Edit') {
output += `- Editing: \`${input.file_path}\`\n`;
} else if (toolData.name === 'Bash') {
output += `- Command: \`${input.command}\`\n`;
} else if (toolData.name === 'Glob') {
output += `- Pattern: \`${input.pattern}\`\n`;
} else if (toolData.name === 'Grep') {
output += `- Searching for: \`${input.pattern}\`\n`;
} else {
output += `\`\`\`json\n${JSON.stringify(input, null, 2).substring(0, 200)}\n\`\`\`\n`;
}
}
output += `\n`;
// Summary of what data is available
output += `**📊 Data Available for This Exchange:**\n`;
output += `- User intent: ✅ (${userMessage.length} chars)\n`;
output += `- Assistant reasoning: ✅ (${textBlocks.reduce((sum, b: any) => sum + b.text.length, 0)} chars)\n`;
output += `- Thinking process: ${thinkingBlocks.length > 0 ? '✅' : '❌'} ${thinkingBlocks.length > 0 ? `(${thinkingBlocks.reduce((sum, b: any) => sum + b.thinking.length, 0)} chars)` : ''}\n`;
output += `- Tool executions: ✅ (${regularTools.length} tools)\n`;
output += `- **Currently sent to memory worker:** Tool inputs/outputs only (no context!) ❌\n\n`;
}
output += `\n---\n\n`;
output += `## Key Insight\n\n`;
output += `Currently, the memory worker receives **isolated tool executions** via save-hook:\n`;
output += `- tool_name: "Read"\n`;
output += `- tool_input: {"file_path": "src/foo.ts"}\n`;
output += `- tool_output: {file contents}\n\n`;
output += `But the transcript contains **rich contextual data**:\n`;
output += `- WHY the tool was used (user's request)\n`;
output += `- WHAT the assistant planned to accomplish\n`;
output += `- HOW it fits into the broader task\n`;
output += `- The assistant's reasoning/thinking\n`;
output += `- Multiple related tools used together\n\n`;
output += `This context would help the memory worker:\n`;
output += `1. Understand if a tool use is meaningful or routine\n`;
output += `2. Generate observations that capture WHY, not just WHAT\n`;
output += `3. Group related tools into coherent actions\n`;
output += `4. Avoid "investigating" - the context is already present\n\n`;
// Write to file
const outputPath = '/Users/alexnewman/Scripts/claude-mem/docs/context/rich-context-examples.md';
writeFileSync(outputPath, output, 'utf-8');
console.log(`\nExtracted ${examplesFound} examples with rich context`);
console.log(`Written to: ${outputPath}\n`);
console.log(`This shows the gap between what's available (rich context) and what's sent (isolated tools)\n`);
scripts/format-transcript-context.ts
+240
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#!/usr/bin/env tsx
/**
* Format Transcript Context
*
* Parses a Claude Code transcript and formats it to show rich contextual data
* that could be used for improved observation generation.
*/
import { TranscriptParser } from '../src/utils/transcript-parser.js';
import { writeFileSync } from 'fs';
import { basename } from 'path';
interface ConversationTurn {
turnNumber: number;
userMessage?: {
content: string;
timestamp: string;
};
assistantMessage?: {
textContent: string;
thinkingContent?: string;
toolUses: Array<{
name: string;
input: any;
timestamp: string;
}>;
timestamp: string;
};
toolResults?: Array<{
toolName: string;
result: any;
timestamp: string;
}>;
}
function extractConversationTurns(parser: TranscriptParser): ConversationTurn[] {
const entries = parser.getAllEntries();
const turns: ConversationTurn[] = [];
let currentTurn: ConversationTurn | null = null;
let turnNumber = 0;
for (const entry of entries) {
// User messages start a new turn
if (entry.type === 'user') {
// If previous turn exists, push it
if (currentTurn) {
turns.push(currentTurn);
}
// Start new turn
turnNumber++;
currentTurn = {
turnNumber,
toolResults: []
};
// Extract user text (skip tool results)
if (typeof entry.content === 'string') {
currentTurn.userMessage = {
content: entry.content,
timestamp: entry.timestamp
};
} else if (Array.isArray(entry.content)) {
const textContent = entry.content
.filter((c: any) => c.type === 'text')
.map((c: any) => c.text)
.join('\n');
if (textContent.trim()) {
currentTurn.userMessage = {
content: textContent,
timestamp: entry.timestamp
};
}
// Extract tool results
const toolResults = entry.content.filter((c: any) => c.type === 'tool_result');
for (const result of toolResults) {
currentTurn.toolResults!.push({
toolName: result.tool_use_id || 'unknown',
result: result.content,
timestamp: entry.timestamp
});
}
}
}
// Assistant messages
if (entry.type === 'assistant' && currentTurn) {
if (!Array.isArray(entry.content)) continue;
const textBlocks = entry.content.filter((c: any) => c.type === 'text');
const thinkingBlocks = entry.content.filter((c: any) => c.type === 'thinking');
const toolUseBlocks = entry.content.filter((c: any) => c.type === 'tool_use');
currentTurn.assistantMessage = {
textContent: textBlocks.map((c: any) => c.text).join('\n'),
thinkingContent: thinkingBlocks.map((c: any) => c.thinking).join('\n'),
toolUses: toolUseBlocks.map((t: any) => ({
name: t.name,
input: t.input,
timestamp: entry.timestamp
})),
timestamp: entry.timestamp
};
}
}
// Push last turn
if (currentTurn) {
turns.push(currentTurn);
}
return turns;
}
function formatTurnToMarkdown(turn: ConversationTurn): string {
let md = '';
md += `## Turn ${turn.turnNumber}\n\n`;
// User message
if (turn.userMessage) {
md += `### 👤 User Request\n`;
md += `**Time:** ${new Date(turn.userMessage.timestamp).toLocaleString()}\n\n`;
md += '```\n';
md += turn.userMessage.content.substring(0, 500);
if (turn.userMessage.content.length > 500) {
md += '\n... (truncated)';
}
md += '\n```\n\n';
}
// Assistant response
if (turn.assistantMessage) {
md += `### 🤖 Assistant Response\n`;
md += `**Time:** ${new Date(turn.assistantMessage.timestamp).toLocaleString()}\n\n`;
// Text content
if (turn.assistantMessage.textContent.trim()) {
md += '**Response:**\n```\n';
md += turn.assistantMessage.textContent.substring(0, 500);
if (turn.assistantMessage.textContent.length > 500) {
md += '\n... (truncated)';
}
md += '\n```\n\n';
}
// Thinking
if (turn.assistantMessage.thinkingContent?.trim()) {
md += '**Thinking:**\n```\n';
md += turn.assistantMessage.thinkingContent.substring(0, 300);
if (turn.assistantMessage.thinkingContent.length > 300) {
md += '\n... (truncated)';
}
md += '\n```\n\n';
}
// Tool uses
if (turn.assistantMessage.toolUses.length > 0) {
md += `**Tools Used:** ${turn.assistantMessage.toolUses.length}\n\n`;
for (const tool of turn.assistantMessage.toolUses) {
md += `- **${tool.name}**\n`;
md += ` \`\`\`json\n`;
const inputStr = JSON.stringify(tool.input, null, 2);
md += inputStr.substring(0, 200);
if (inputStr.length > 200) {
md += '\n ... (truncated)';
}
md += '\n ```\n';
}
md += '\n';
}
}
// Tool results summary
if (turn.toolResults && turn.toolResults.length > 0) {
md += `**Tool Results:** ${turn.toolResults.length} results received\n\n`;
}
md += '---\n\n';
return md;
}
function formatTranscriptToMarkdown(transcriptPath: string): string {
const parser = new TranscriptParser(transcriptPath);
const turns = extractConversationTurns(parser);
const stats = parser.getParseStats();
const tokens = parser.getTotalTokenUsage();
let md = `# Transcript Context Analysis\n\n`;
md += `**File:** ${basename(transcriptPath)}\n`;
md += `**Parsed:** ${new Date().toLocaleString()}\n\n`;
md += `## Statistics\n\n`;
md += `- Total entries: ${stats.totalLines}\n`;
md += `- Successfully parsed: ${stats.parsedEntries}\n`;
md += `- Failed lines: ${stats.failedLines}\n`;
md += `- Conversation turns: ${turns.length}\n\n`;
md += `## Token Usage\n\n`;
md += `- Input tokens: ${tokens.inputTokens.toLocaleString()}\n`;
md += `- Output tokens: ${tokens.outputTokens.toLocaleString()}\n`;
md += `- Cache creation: ${tokens.cacheCreationTokens.toLocaleString()}\n`;
md += `- Cache read: ${tokens.cacheReadTokens.toLocaleString()}\n`;
const totalTokens = tokens.inputTokens + tokens.outputTokens;
md += `- Total: ${totalTokens.toLocaleString()}\n\n`;
md += `---\n\n`;
md += `# Conversation Turns\n\n`;
// Format each turn
for (const turn of turns.slice(0, 20)) { // Limit to first 20 turns for readability
md += formatTurnToMarkdown(turn);
}
if (turns.length > 20) {
md += `\n_... ${turns.length - 20} more turns omitted for brevity_\n`;
}
return md;
}
// Main execution
const transcriptPath = process.argv[2];
if (!transcriptPath) {
console.error('Usage: tsx scripts/format-transcript-context.ts <path-to-transcript.jsonl>');
process.exit(1);
}
console.log(`Parsing transcript: ${transcriptPath}`);
const markdown = formatTranscriptToMarkdown(transcriptPath);
const outputPath = transcriptPath.replace('.jsonl', '-formatted.md');
writeFileSync(outputPath, markdown, 'utf-8');
console.log(`\nFormatted transcript written to: ${outputPath}`);
console.log(`\nOpen with: cat "${outputPath}"\n`);
scripts/test-transcript-parser.ts
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#!/usr/bin/env tsx
/**
* Test script for TranscriptParser
* Validates data extraction from Claude Code transcript JSONL files
*
* Usage: npx tsx scripts/test-transcript-parser.ts <path-to-transcript.jsonl>
*/
import { TranscriptParser } from '../src/utils/transcript-parser.js';
import { existsSync } from 'fs';
import { resolve } from 'path';
function formatTokens(num: number): string {
return num.toLocaleString();
}
function formatPercentage(num: number): string {
return `${(num * 100).toFixed(2)}%`;
}
function main() {
const args = process.argv.slice(2);
if (args.length === 0) {
console.error('Usage: npx tsx scripts/test-transcript-parser.ts <path-to-transcript.jsonl>');
console.error('\nExample: npx tsx scripts/test-transcript-parser.ts ~/.cache/claude-code/transcripts/latest.jsonl');
process.exit(1);
}
const transcriptPath = resolve(args[0]);
if (!existsSync(transcriptPath)) {
console.error(`Error: Transcript file not found: ${transcriptPath}`);
process.exit(1);
}
console.log(`\n🔍 Parsing transcript: ${transcriptPath}\n`);
try {
const parser = new TranscriptParser(transcriptPath);
// Get parse statistics
const stats = parser.getParseStats();
console.log('📊 Parse Statistics:');
console.log('─'.repeat(60));
console.log(`Total lines: ${stats.totalLines}`);
console.log(`Parsed entries: ${stats.parsedEntries}`);
console.log(`Failed lines: ${stats.failedLines}`);
console.log(`Failure rate: ${formatPercentage(stats.failureRate)}`);
console.log();
console.log('📋 Entries by Type:');
console.log('─'.repeat(60));
for (const [type, count] of Object.entries(stats.entriesByType)) {
console.log(` ${type.padEnd(20)} ${count}`);
}
console.log();
// Show parse errors if any
if (stats.failedLines > 0) {
console.log('❌ Parse Errors:');
console.log('─'.repeat(60));
const errors = parser.getParseErrors();
errors.slice(0, 5).forEach(err => {
console.log(` Line ${err.lineNumber}: ${err.error}`);
});
if (errors.length > 5) {
console.log(` ... and ${errors.length - 5} more errors`);
}
console.log();
}
// Test data extraction methods
console.log('💬 Message Extraction:');
console.log('─'.repeat(60));
const lastUserMessage = parser.getLastUserMessage();
console.log(`Last user message: ${lastUserMessage ? `"${lastUserMessage.substring(0, 100)}..."` : '(none)'}`);
console.log();
const lastAssistantMessage = parser.getLastAssistantMessage();
console.log(`Last assistant message: ${lastAssistantMessage ? `"${lastAssistantMessage.substring(0, 100)}..."` : '(none)'}`);
console.log();
// Token usage
const tokenUsage = parser.getTotalTokenUsage();
console.log('💰 Token Usage:');
console.log('─'.repeat(60));
console.log(`Input tokens: ${formatTokens(tokenUsage.inputTokens)}`);
console.log(`Output tokens: ${formatTokens(tokenUsage.outputTokens)}`);
console.log(`Cache creation tokens: ${formatTokens(tokenUsage.cacheCreationTokens)}`);
console.log(`Cache read tokens: ${formatTokens(tokenUsage.cacheReadTokens)}`);
console.log(`Total tokens: ${formatTokens(tokenUsage.inputTokens + tokenUsage.outputTokens)}`);
console.log();
// Tool use history
const toolUses = parser.getToolUseHistory();
console.log('🔧 Tool Use History:');
console.log('─'.repeat(60));
if (toolUses.length > 0) {
console.log(`Total tool uses: ${toolUses.length}\n`);
// Group by tool name
const toolCounts = toolUses.reduce((acc, tool) => {
acc[tool.name] = (acc[tool.name] || 0) + 1;
return acc;
}, {} as Record<string, number>);
console.log('Tools used:');
for (const [name, count] of Object.entries(toolCounts).sort((a, b) => b[1] - a[1])) {
console.log(` ${name.padEnd(30)} ${count}x`);
}
} else {
console.log('(no tool uses found)');
}
console.log();
// System entries
const systemEntries = parser.getSystemEntries();
if (systemEntries.length > 0) {
console.log('⚠️ System Entries:');
console.log('─'.repeat(60));
console.log(`Found ${systemEntries.length} system entries`);
systemEntries.slice(0, 3).forEach(entry => {
console.log(` [${entry.level || 'info'}] ${entry.content.substring(0, 80)}...`);
});
if (systemEntries.length > 3) {
console.log(` ... and ${systemEntries.length - 3} more`);
}
console.log();
}
// Summary entries
const summaryEntries = parser.getSummaryEntries();
if (summaryEntries.length > 0) {
console.log('📝 Summary Entries:');
console.log('─'.repeat(60));
console.log(`Found ${summaryEntries.length} summary entries`);
summaryEntries.forEach((entry, i) => {
console.log(`\nSummary ${i + 1}:`);
console.log(entry.summary.substring(0, 200) + '...');
});
console.log();
}
// Queue operations
const queueOps = parser.getQueueOperationEntries();
if (queueOps.length > 0) {
console.log('🔄 Queue Operations:');
console.log('─'.repeat(60));
const enqueues = queueOps.filter(op => op.operation === 'enqueue').length;
const dequeues = queueOps.filter(op => op.operation === 'dequeue').length;
console.log(`Enqueue operations: ${enqueues}`);
console.log(`Dequeue operations: ${dequeues}`);
console.log();
}
console.log('✅ Validation complete!\n');
} catch (error) {
console.error('❌ Error parsing transcript:', error);
process.exit(1);
}
}
main();
scripts/transcript-to-markdown.ts
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#!/usr/bin/env tsx
/**
* Transcript to Markdown - Complete 1:1 representation
* Shows ALL available context data from a Claude Code transcript
*/
import { TranscriptParser } from '../src/utils/transcript-parser.js';
import type { UserTranscriptEntry, AssistantTranscriptEntry, ToolResultContent } from '../types/transcript.js';
import { writeFileSync } from 'fs';
import { basename } from 'path';
const transcriptPath = process.argv[2];
const maxTurns = process.argv[3] ? parseInt(process.argv[3]) : 20;
if (!transcriptPath) {
console.error('Usage: tsx scripts/transcript-to-markdown.ts <path-to-transcript.jsonl> [max-turns]');
process.exit(1);
}
/**
* Truncate string to max length, adding ellipsis if needed
*/
function truncate(str: string, maxLen: number = 500): string {
if (str.length <= maxLen) return str;
return str.substring(0, maxLen) + '\n... [truncated]';
}
/**
* Format tool result content for display
*/
function formatToolResult(result: ToolResultContent): string {
if (typeof result.content === 'string') {
// Try to parse as JSON for better formatting
try {
const parsed = JSON.parse(result.content);
return JSON.stringify(parsed, null, 2);
} catch {
return truncate(result.content);
}
}
if (Array.isArray(result.content)) {
// Handle array of content items - extract text and parse if JSON
const formatted = result.content.map((item: any) => {
if (item.type === 'text' && item.text) {
try {
const parsed = JSON.parse(item.text);
return JSON.stringify(parsed, null, 2);
} catch {
return item.text;
}
}
return JSON.stringify(item, null, 2);
}).join('\n\n');
return formatted;
}
return '[unknown result type]';
}
const parser = new TranscriptParser(transcriptPath);
const entries = parser.getAllEntries();
const stats = parser.getParseStats();
let output = `# Transcript: ${basename(transcriptPath)}\n\n`;
output += `**Generated:** ${new Date().toLocaleString()}\n`;
output += `**Total Entries:** ${stats.parsedEntries}\n`;
output += `**Entry Types:** ${JSON.stringify(stats.entriesByType, null, 2)}\n`;
output += `**Showing:** First ${maxTurns} conversation turns\n\n`;
output += `---\n\n`;
let turnNumber = 0;
let inTurn = false;
for (const entry of entries) {
// Skip summary and file-history-snapshot entries
if (entry.type === 'summary' || entry.type === 'file-history-snapshot') continue;
// USER MESSAGE
if (entry.type === 'user') {
const userEntry = entry as UserTranscriptEntry;
turnNumber++;
if (turnNumber > maxTurns) break;
inTurn = true;
output += `## Turn ${turnNumber}\n\n`;
output += `### 👤 User\n`;
output += `**Timestamp:** ${userEntry.timestamp}\n`;
output += `**UUID:** ${userEntry.uuid}\n`;
output += `**Session ID:** ${userEntry.sessionId}\n`;
output += `**CWD:** ${userEntry.cwd}\n\n`;
// Extract user message text
if (typeof userEntry.message.content === 'string') {
output += userEntry.message.content + '\n\n';
} else if (Array.isArray(userEntry.message.content)) {
const textBlocks = userEntry.message.content.filter((c) => c.type === 'text');
if (textBlocks.length > 0) {
const text = textBlocks.map((b: any) => b.text).join('\n');
output += text + '\n\n';
}
// Show ACTUAL tool results with their data
const toolResults = userEntry.message.content.filter((c): c is ToolResultContent => c.type === 'tool_result');
if (toolResults.length > 0) {
output += `**Tool Results Submitted (${toolResults.length}):**\n\n`;
for (const result of toolResults) {
output += `- **Tool Use ID:** \`${result.tool_use_id}\`\n`;
if (result.is_error) {
output += ` **ERROR:**\n`;
}
output += ` \`\`\`json\n`;
output += ` ${formatToolResult(result)}\n`;
output += ` \`\`\`\n\n`;
}
}
}
}
// ASSISTANT MESSAGE
if (entry.type === 'assistant' && inTurn) {
const assistantEntry = entry as AssistantTranscriptEntry;
output += `### 🤖 Assistant\n`;
output += `**Timestamp:** ${assistantEntry.timestamp}\n`;
output += `**UUID:** ${assistantEntry.uuid}\n`;
output += `**Model:** ${assistantEntry.message.model}\n`;
output += `**Stop Reason:** ${assistantEntry.message.stop_reason || 'N/A'}\n\n`;
if (!Array.isArray(assistantEntry.message.content)) {
output += `*[No content]*\n\n`;
continue;
}
const content = assistantEntry.message.content;
// 1. Thinking blocks (show first, as they happen first in reasoning)
const thinkingBlocks = content.filter((c) => c.type === 'thinking');
if (thinkingBlocks.length > 0) {
output += `**💭 Thinking:**\n\n`;
for (const block of thinkingBlocks) {
const thinking = (block as any).thinking;
// Format thinking with proper line breaks and indentation
const formattedThinking = thinking
.split('\n')
.map((line: string) => line.trimEnd())
.join('\n');
output += '> ';
output += formattedThinking.replace(/\n/g, '\n> ');
output += '\n\n';
}
}
// 2. Text responses
const textBlocks = content.filter((c) => c.type === 'text');
if (textBlocks.length > 0) {
output += `**Response:**\n\n`;
for (const block of textBlocks) {
output += (block as any).text + '\n\n';
}
}
// 3. Tool uses - show complete input
const toolUseBlocks = content.filter((c) => c.type === 'tool_use');
if (toolUseBlocks.length > 0) {
output += `**🔧 Tools Used (${toolUseBlocks.length}):**\n\n`;
for (const tool of toolUseBlocks) {
const t = tool as any;
output += `- **${t.name}** (ID: \`${t.id}\`)\n`;
output += ` \`\`\`json\n`;
output += ` ${JSON.stringify(t.input, null, 2)}\n`;
output += ` \`\`\`\n\n`;
}
}
// 4. Token usage
if (assistantEntry.message.usage) {
const usage = assistantEntry.message.usage;
output += `**📊 Token Usage:**\n`;
output += `- Input: ${usage.input_tokens || 0}\n`;
output += `- Output: ${usage.output_tokens || 0}\n`;
if (usage.cache_creation_input_tokens) {
output += `- Cache creation: ${usage.cache_creation_input_tokens}\n`;
}
if (usage.cache_read_input_tokens) {
output += `- Cache read: ${usage.cache_read_input_tokens}\n`;
}
output += '\n';
}
output += `---\n\n`;
inTurn = false;
}
}
if (turnNumber < (stats.entriesByType['user'] || 0)) {
output += `\n*... ${(stats.entriesByType['user'] || 0) - turnNumber} more turns not shown*\n`;
}
// Write output
const outputPath = transcriptPath.replace('.jsonl', '-complete.md');
writeFileSync(outputPath, output, 'utf-8');
console.log(`\nComplete transcript written to: ${outputPath}`);
console.log(`Turns shown: ${Math.min(turnNumber, maxTurns)} of ${stats.entriesByType['user'] || 0}\n`);
src-analysis.md
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# Claude-Mem Source Code Analysis Report
## Executive Summary
Analyzed all 58 files in the `/Users/alexnewman/Scripts/claude-mem/src` directory. This report categorizes each file by purpose, usage status, and documents the cleanup of dead code files.
**Cleanup Status**: ✅ **7 dead code files successfully removed** (51 files remaining)
---
## **Directory: src/bin** (2 files)
### `src/bin/cleanup-duplicates.ts`
- **Purpose**: Utility script to remove duplicate observations and summaries from the database
- **Used?**: **No** - Standalone CLI utility, not imported anywhere
- **Notes**: Maintenance tool for database cleanup. Keeps earliest entry (MIN(id)) for each duplicate group. Not part of the runtime system.
### `src/bin/import-xml-observations.ts`
- **Purpose**: Import tool to restore XML observations back into SQLite database
- **Used?**: **No** - Standalone CLI utility, not imported anywhere
- **Notes**: Data migration tool. Parses XML timestamps and matches them to transcript files. Not part of the runtime system.
---
## **Directory: src/hooks** (7 files, 1 deleted)
### `src/hooks/cleanup-hook.ts`
- **Purpose**: SessionEnd hook that marks sessions as completed and notifies worker
- **Used?**: **Yes** - Built to `plugin/scripts/cleanup-hook.js`, registered in `plugin/hooks/hooks.json`
- **Notes**: Core hook, actively used
### `src/hooks/context-hook.ts`
- **Purpose**: SessionStart hook that injects recent observations into Claude Code sessions
- **Used?**: **Yes** - Built to `plugin/scripts/context-hook.js`, registered in hooks.json, also called by user-message-hook
- **Notes**: Core hook displaying context timeline with progressive disclosure (index view)
### `src/hooks/hook-response.ts`
- **Purpose**: Utility module for creating standardized hook responses
- **Used?**: **Yes** - Imported by new-hook.ts, save-hook.ts, summary-hook.ts
- **Notes**: Shared helper for hook JSON output
### `src/hooks/index.ts` 🗑️ **DELETED**
- **Purpose**: Export barrel for hooks module
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Exports were outdated (referenced `context.js`, `save.js`, etc. which don't exist). The actual hooks are built as standalone executables, not imported as modules.
### `src/hooks/new-hook.ts`
- **Purpose**: UserPromptSubmit hook that creates session records and saves raw user prompts
- **Used?**: **Yes** - Built to `plugin/scripts/new-hook.js`, registered in hooks.json
- **Notes**: Core hook, actively used
### `src/hooks/save-hook.ts`
- **Purpose**: PostToolUse hook that captures tool executions and sends to worker
- **Used?**: **Yes** - Built to `plugin/scripts/save-hook.js`, registered in hooks.json
- **Notes**: Core hook, actively used
### `src/hooks/summary-hook.ts`
- **Purpose**: Stop hook that requests session summaries from worker
- **Used?**: **Yes** - Built to `plugin/scripts/summary-hook.js`, registered in hooks.json
- **Notes**: Core hook, actively used
### `src/hooks/user-message-hook.ts`
- **Purpose**: SessionStart hook that displays context to users via stderr
- **Used?**: **Yes** - Built to `plugin/scripts/user-message-hook.js`, registered in hooks.json
- **Notes**: Runs context-hook via execSync to show colored output. Active hook.
---
## **Directory: src/sdk** (3 files, 1 deleted)
### `src/sdk/index.ts` 🗑️ **DELETED**
- **Purpose**: Export barrel for SDK module
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Exported SDK functions but nothing imported from this module directly. Files import directly from prompts.ts and parser.ts instead.
### `src/sdk/parser.test.ts`
- **Purpose**: Regression tests for XML parsing (v4.2.5 and v4.2.6 bugfixes)
- **Used?**: **No** - Test file, not part of runtime
- **Notes**: Test suite with 18 tests validating observation/summary parsing edge cases
### `src/sdk/parser.ts`
- **Purpose**: XML parser for observation and summary blocks from SDK responses
- **Used?**: **Yes** - Imported by worker-service.ts
- **Notes**: Core parsing logic, actively used
### `src/sdk/prompts.ts`
- **Purpose**: Prompt builders for Claude Agent SDK
- **Used?**: **Yes** - Imported by worker-service.ts
- **Notes**: Generates init, observation, and summary prompts for SDK agent
---
## **Directory: src/servers** (1 file)
### `src/servers/search-server.ts`
- **Purpose**: MCP search server exposing 9 search tools with hybrid Chroma + FTS5 search
- **Used?**: **Yes** - Built to `plugin/search-server.mjs`, configured in `plugin/.mcp.json`
- **Notes**: 1,782 lines. Core search server providing progressive disclosure search tools.
---
## **Directory: src/services/sqlite** (6 files)
### `src/services/sqlite/Database.ts`
- **Purpose**: Base database class with better-sqlite3
- **Used?**: **Yes** - Imported by SessionStore.ts, SessionSearch.ts, index.ts
- **Notes**: Foundation class for SQLite operations
### `src/services/sqlite/index.ts`
- **Purpose**: Export barrel for sqlite module
- **Used?**: **Yes** - Imported by storage.ts
- **Notes**: Exports all store types and utilities
### `src/services/sqlite/migrations.ts`
- **Purpose**: Database migration function for schema changes
- **Used?**: **Yes** - Imported by index.ts
- **Notes**: Handles SQLite schema migrations
### `src/services/sqlite/SessionSearch.ts`
- **Purpose**: FTS5 full-text search implementation
- **Used?**: **Yes** - Imported by search-server.ts
- **Notes**: Provides searchObservations, searchSessions, searchUserPrompts, findByConcept, findByFile, findByType
### `src/services/sqlite/SessionStore.ts`
- **Purpose**: CRUD operations for sessions, observations, summaries, user prompts
- **Used?**: **Yes** - Imported by all hooks, worker-service.ts, search-server.ts, bin utilities
- **Notes**: Core database store, heavily used throughout the system
### `src/services/sqlite/types.ts`
- **Purpose**: TypeScript type definitions for database records
- **Used?**: **Yes** - Imported by search-server.ts
- **Notes**: Defines ObservationSearchResult, SessionSummarySearchResult, UserPromptSearchResult
---
## **Directory: src/services/sync** (1 file)
### `src/services/sync/ChromaSync.ts`
- **Purpose**: Vector database synchronization service for semantic search
- **Used?**: **Yes** - Imported by worker-service.ts
- **Notes**: 737 lines. Manages Chroma vector embeddings for observations, summaries, and prompts. Critical for hybrid search.
---
## **Directory: src/services** (1 file)
### `src/services/worker-service.ts`
- **Purpose**: Express HTTP server managed by PM2, handles SDK agent sessions
- **Used?**: **Yes** - Built to `plugin/worker-service.cjs`, started by PM2
- **Notes**: 1,173 lines. Core worker service with 14 HTTP/SSE endpoints. Serves viewer UI, manages SDK sessions, broadcasts SSE updates.
---
## **Directory: src/shared** (2 files, 3 deleted)
### `src/shared/config.ts` 🗑️ **DELETED**
- **Purpose**: Package configuration (name, version, description)
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Read from package.json but no code used these exports. The actual version reading happens inline in worker-service.ts.
### `src/shared/paths.ts`
- **Purpose**: Path utilities and directory management
- **Used?**: **Yes** - Imported by search-server.ts
- **Notes**: Provides VECTOR_DB_DIR and other path constants. Actively used.
### `src/shared/storage.ts` 🗑️ **DELETED**
- **Purpose**: Unified storage provider interface (SQLite abstraction layer)
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Defined IStorageProvider interface and SQLiteStorageProvider but nothing used this abstraction. Direct SessionStore usage is preferred.
### `src/shared/types.ts` 🗑️ **DELETED**
- **Purpose**: Core type definitions (Settings interface)
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Defined Settings interface but no code imported it. Settings are read/written as raw JSON objects.
### `src/shared/worker-utils.ts`
- **Purpose**: Worker health checks and PM2 management
- **Used?**: **Yes** - Imported by context-hook.ts, new-hook.ts, save-hook.ts, summary-hook.ts, cleanup-hook.ts, user-message-hook.ts
- **Notes**: Core utility, actively used by all hooks
---
## **Directory: src/utils** (1 file, 2 deleted)
### `src/utils/logger.ts`
- **Purpose**: Structured logging with correlation IDs and data flow tracking
- **Used?**: **Yes** - Imported by parser.ts, save-hook.ts, summary-hook.ts, worker-service.ts
- **Notes**: Core logger, actively used
### `src/utils/platform.ts` 🗑️ **DELETED**
- **Purpose**: Platform-specific utilities for Windows/Unix compatibility
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Provided installUv(), getShellConfigPaths(), getAliasDefinition() but nothing used these. Likely leftover from earlier installer/setup code.
### `src/utils/usage-logger.ts` 🗑️ **DELETED**
- **Purpose**: Usage data logger for API cost tracking (JSONL files)
- **Used?**: **No** - Not imported anywhere
- **Notes**: **DELETED**. Defined UsageLogger class but it was never instantiated. Usage tracking may be handled differently now.
---
## **Directory: src/ui** (24 files + assets)
### `src/ui/claude-mem-logo-for-dark-mode.webp`
- **Purpose**: Logo asset for dark mode
- **Used?**: **Yes** - Referenced in Header.tsx, bundled into viewer.html
- **Notes**: Web UI asset
### `src/ui/claude-mem-logomark.webp`
- **Purpose**: Logomark asset
- **Used?**: **Yes** - Referenced in Header.tsx, bundled into viewer.html
- **Notes**: Web UI asset
### `src/ui/viewer-template.html`
- **Purpose**: HTML template for viewer UI
- **Used?**: **Yes** - Build process uses this to generate plugin/ui/viewer.html
- **Notes**: Build artifact template
### `src/ui/viewer/App.tsx`
- **Purpose**: Root React component for viewer UI
- **Used?**: **Yes** - Entry point for viewer, imported by index.tsx
- **Notes**: Main app component
### `src/ui/viewer/index.tsx`
- **Purpose**: React app entry point
- **Used?**: **Yes** - Built by esbuild into viewer-bundle.js
- **Notes**: Mounts React app
### `src/ui/viewer/types.ts`
- **Purpose**: TypeScript types for viewer UI
- **Used?**: **Yes** - Imported by multiple viewer components
- **Notes**: Type definitions for Observation, Summary, UserPrompt, etc.
### **src/ui/viewer/assets/fonts/** (2 files)
- `monaspace-radon-var.woff` and `monaspace-radon-var.woff2`
- **Purpose**: Monaspace Radon font files for viewer UI
- **Used?**: **Yes** - Embedded in viewer.html via esbuild
- **Notes**: Font assets
### **src/ui/viewer/components/** (8 files)
All actively used by App.tsx:
- `ErrorBoundary.tsx` - Error boundary wrapper
- `Feed.tsx` - Infinite scroll feed component
- `Header.tsx` - Top navigation with project selector, stats, settings
- `ObservationCard.tsx` - Observation display card
- `PromptCard.tsx` - User prompt display card
- `Sidebar.tsx` - Project filtering sidebar
- `SummaryCard.tsx` - Session summary display card
- `ThemeToggle.tsx` - Light/dark mode toggle
### **src/ui/viewer/constants/** (4 files)
All actively used by viewer components:
- `api.ts` - API endpoint URLs
- `settings.ts` - Default settings constants
- `timing.ts` - Timing constants (reconnect delays, polling intervals)
- `ui.ts` - UI constants (page sizes, etc.)
### **src/ui/viewer/hooks/** (5 files)
All actively used by viewer components:
- `usePagination.ts` - Infinite scroll pagination hook
- `useSSE.ts` - Server-sent events hook for real-time updates
- `useSettings.ts` - Settings management hook
- `useStats.ts` - Worker stats fetching hook
- `useTheme.ts` - Theme (light/dark) management hook
### **src/ui/viewer/utils/** (2 files)
All actively used by viewer components:
- `data.ts` - Data merging and deduplication utilities
- `formatters.ts` - Date/time formatting utilities
---
## Dead Code Summary
### **🗑️ Deleted Files** (7 files - all removed)
1. **src/hooks/index.ts** ✅ DELETED - Outdated export barrel, referenced non-existent files
2. **src/shared/config.ts** ✅ DELETED - Package config not used anywhere, version read inline instead
3. **src/shared/storage.ts** ✅ DELETED - Abstraction layer not used, direct SessionStore usage preferred
4. **src/shared/types.ts** ✅ DELETED - Settings interface not imported anywhere
5. **src/sdk/index.ts** ✅ DELETED - Export barrel, but imports happened directly from parser/prompts instead
6. **src/utils/platform.ts** ✅ DELETED - Platform utilities not used, legacy installer code
7. **src/utils/usage-logger.ts** ✅ DELETED - UsageLogger class never instantiated
### **Utility/Maintenance Scripts** (not dead, just not runtime code) (2 files)
8. **src/bin/cleanup-duplicates.ts** - Maintenance CLI tool
9. **src/bin/import-xml-observations.ts** - Data migration CLI tool
### **Test Files** (not dead, just not runtime code) (1 file)
10. **src/sdk/parser.test.ts** - Regression test suite
---
## File Count Summary
- **Total files** (before cleanup): 58
- **Total files** (after cleanup): **51** ✅
- **Deleted dead code**: **7 files** 🗑️
- **Actively used at runtime**: 43 files
- **Utility/maintenance scripts**: 2 files
- **Test files**: 1 file
- **Build templates**: 1 file (viewer-template.html)
- **Assets**: 4 files (2 logos, 2 fonts)
---
## Cleanup Actions Completed ✅
1. **✅ Removed all dead code** (7 files deleted):
- ✅ Deleted `src/hooks/index.ts`
- ✅ Deleted `src/shared/config.ts`
- ✅ Deleted `src/shared/storage.ts`
- ✅ Deleted `src/shared/types.ts`
- ✅ Deleted `src/sdk/index.ts`
- ✅ Deleted `src/utils/platform.ts`
- ✅ Deleted `src/utils/usage-logger.ts`
2. **✅ Kept utility scripts** for maintenance purposes:
- ✅ Kept `src/bin/cleanup-duplicates.ts`
- ✅ Kept `src/bin/import-xml-observations.ts`
3. **✅ Kept test files** for regression testing:
- ✅ Kept `src/sdk/parser.test.ts`
## Next Steps
1. **Build and test** to ensure no broken imports:
```bash
npm run build
```
2. **Run TypeScript diagnostics** to catch any missing references:
```bash
npx tsc --noEmit
```
3. **Commit the cleanup**:
```bash
git add -A
git commit -m "Remove dead code files"
```
src-tree.md
-78
View File
@@ -1,78 +0,0 @@
src
├── bin
│   ├── cleanup-duplicates.ts
│   └── import-xml-observations.ts
├── hooks
│   ├── cleanup-hook.ts
│   ├── context-hook.ts
│   ├── hook-response.ts
│   ├── index.ts
│   ├── new-hook.ts
│   ├── save-hook.ts
│   ├── summary-hook.ts
│   └── user-message-hook.ts
├── sdk
│   ├── index.ts
│   ├── parser.test.ts
│   ├── parser.ts
│   └── prompts.ts
├── servers
│   └── search-server.ts
├── services
│   ├── sqlite
│   │   ├── Database.ts
│   │   ├── SessionSearch.ts
│   │   ├── SessionStore.ts
│   │   ├── index.ts
│   │   ├── migrations.ts
│   │   └── types.ts
│   ├── sync
│   │   └── ChromaSync.ts
│   └── worker-service.ts
├── shared
│   ├── config.ts
│   ├── paths.ts
│   ├── storage.ts
│   ├── types.ts
│   └── worker-utils.ts
├── ui
│   ├── claude-mem-logo-for-dark-mode.webp
│   ├── claude-mem-logomark.webp
│   ├── viewer
│   │   ├── App.tsx
│   │   ├── assets
│   │   │   └── fonts
│   │   │   ├── monaspace-radon-var.woff
│   │   │   └── monaspace-radon-var.woff2
│   │   ├── components
│   │   │   ├── ErrorBoundary.tsx
│   │   │   ├── Feed.tsx
│   │   │   ├── Header.tsx
│   │   │   ├── ObservationCard.tsx
│   │   │   ├── PromptCard.tsx
│   │   │   ├── Sidebar.tsx
│   │   │   ├── SummaryCard.tsx
│   │   │   └── ThemeToggle.tsx
│   │   ├── constants
│   │   │   ├── api.ts
│   │   │   ├── settings.ts
│   │   │   ├── timing.ts
│   │   │   └── ui.ts
│   │   ├── hooks
│   │   │   ├── usePagination.ts
│   │   │   ├── useSSE.ts
│   │   │   ├── useSettings.ts
│   │   │   ├── useStats.ts
│   │   │   └── useTheme.ts
│   │   ├── index.tsx
│   │   ├── types.ts
│   │   └── utils
│   │   ├── data.ts
│   │   └── formatters.ts
│   └── viewer-template.html
└── utils
├── logger.ts
├── platform.ts
└── usage-logger.ts
18 directories, 58 files
src/hooks/new-hook.ts
+5 -1
View File
@@ -77,12 +77,16 @@ async function newHook(input?: UserPromptSubmitInput): Promise<void> {
const port = getWorkerPort();
// Strip leading slash from commands for memory agent
// /review 101 → review 101 (more semantic for observations)
const cleanedPrompt = prompt.startsWith('/') ? prompt.substring(1) : prompt;
try {
// Initialize session via HTTP
const response = await fetch(`http://127.0.0.1:${port}/sessions/${sessionDbId}/init`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ project, userPrompt: prompt, promptNumber }),
body: JSON.stringify({ project, userPrompt: cleanedPrompt, promptNumber }),
signal: AbortSignal.timeout(5000)
});
src/hooks/save-hook.ts
+5 -1
View File
@@ -20,7 +20,11 @@ export interface PostToolUseInput {
// Tools to skip (low value or too frequent)
const SKIP_TOOLS = new Set([
'ListMcpResourcesTool'
'ListMcpResourcesTool', // MCP infrastructure
'SlashCommand', // Command invocation (observe what it produces, not the call)
'Skill', // Skill invocation (observe what it produces, not the call)
'TodoWrite', // Task management meta-tool
'AskUserQuestion' // User interaction, not substantive work
]);
/**
src/hooks/summary-hook.ts
+103 -8
View File
@@ -9,6 +9,7 @@ import { SessionStore } from '../services/sqlite/SessionStore.js';
import { createHookResponse } from './hook-response.js';
import { logger } from '../utils/logger.js';
import { ensureWorkerRunning, getWorkerPort } from '../shared/worker-utils.js';
import { silentDebug } from '../utils/silent-debug.js';
export interface StopInput {
session_id: string;
@@ -37,12 +38,16 @@ function extractLastUserMessage(transcriptPath: string): string {
for (let i = lines.length - 1; i >= 0; i--) {
try {
const line = JSON.parse(lines[i]);
if (line.role === 'user' && line.content) {
// Claude Code transcript format: {type: "user", message: {role: "user", content: [...]}}
if (line.type === 'user' && line.message?.content) {
const content = line.message.content;
// Extract text content (handle both string and array formats)
if (typeof line.content === 'string') {
return line.content;
} else if (Array.isArray(line.content)) {
const textParts = line.content
if (typeof content === 'string') {
return content;
} else if (Array.isArray(content)) {
const textParts = content
.filter((c: any) => c.type === 'text')
.map((c: any) => c.text);
return textParts.join('\n');
@@ -60,6 +65,63 @@ function extractLastUserMessage(transcriptPath: string): string {
return '';
}
/**
* Extract last assistant message from transcript JSONL file
* Filters out system-reminder tags to avoid polluting summaries
*/
function extractLastAssistantMessage(transcriptPath: string): string {
if (!transcriptPath || !existsSync(transcriptPath)) {
return '';
}
try {
const content = readFileSync(transcriptPath, 'utf-8').trim();
if (!content) {
return '';
}
const lines = content.split('\n');
// Parse JSONL and find last assistant message
for (let i = lines.length - 1; i >= 0; i--) {
try {
const line = JSON.parse(lines[i]);
// Claude Code transcript format: {type: "assistant", message: {role: "assistant", content: [...]}}
if (line.type === 'assistant' && line.message?.content) {
let text = '';
const content = line.message.content;
// Extract text content (handle both string and array formats)
if (typeof content === 'string') {
text = content;
} else if (Array.isArray(content)) {
const textParts = content
.filter((c: any) => c.type === 'text')
.map((c: any) => c.text);
text = textParts.join('\n');
}
// Filter out system-reminder tags and their content
text = text.replace(/<system-reminder>[\s\S]*?<\/system-reminder>/g, '');
// Clean up excessive whitespace
text = text.replace(/\n{3,}/g, '\n\n').trim();
return text;
}
} catch (parseError) {
// Skip malformed lines
continue;
}
}
} catch (error) {
logger.error('HOOK', 'Failed to read transcript', { transcriptPath }, error as Error);
}
return '';
}
/**
* Summary Hook Main Logic
*/
@@ -78,18 +140,50 @@ async function summaryHook(input?: StopInput): Promise<void> {
// Get or create session
const sessionDbId = db.createSDKSession(session_id, '', '');
const promptNumber = db.getPromptCounter(sessionDbId);
// DIAGNOSTIC: Check session and observations
const sessionInfo = db.db.prepare(`
SELECT id, claude_session_id, sdk_session_id, project
FROM sdk_sessions WHERE id = ?
`).get(sessionDbId) as any;
const obsCount = db.db.prepare(`
SELECT COUNT(*) as count
FROM observations
WHERE sdk_session_id = ?
`).get(sessionInfo?.sdk_session_id) as { count: number };
silentDebug('[summary-hook] Session diagnostics', {
claudeSessionId: session_id,
sessionDbId,
sdkSessionId: sessionInfo?.sdk_session_id,
project: sessionInfo?.project,
promptNumber,
observationCount: obsCount?.count || 0,
transcriptPath: input.transcript_path
});
db.close();
const port = getWorkerPort();
// Extract last user message from transcript
// Extract last user AND assistant messages from transcript
const lastUserMessage = extractLastUserMessage(input.transcript_path || '');
const lastAssistantMessage = extractLastAssistantMessage(input.transcript_path || '');
silentDebug('[summary-hook] Extracted messages', {
hasLastUserMessage: !!lastUserMessage,
hasLastAssistantMessage: !!lastAssistantMessage,
lastAssistantPreview: lastAssistantMessage.substring(0, 200),
lastAssistantLength: lastAssistantMessage.length
});
logger.dataIn('HOOK', 'Stop: Requesting summary', {
sessionId: sessionDbId,
workerPort: port,
promptNumber,
hasLastUserMessage: !!lastUserMessage
hasLastUserMessage: !!lastUserMessage,
hasLastAssistantMessage: !!lastAssistantMessage
});
try {
@@ -98,7 +192,8 @@ async function summaryHook(input?: StopInput): Promise<void> {
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
prompt_number: promptNumber,
last_user_message: lastUserMessage
last_user_message: lastUserMessage,
last_assistant_message: lastAssistantMessage
}),
signal: AbortSignal.timeout(2000)
});
src/sdk/parser.ts
+5 -5
View File
@@ -17,11 +17,11 @@ export interface ParsedObservation {
}
export interface ParsedSummary {
request: string;
investigated: string;
learned: string;
completed: string;
next_steps: string;
request: string | null;
investigated: string | null;
learned: string | null;
completed: string | null;
next_steps: string | null;
notes: string | null;
}
src/sdk/prompts.ts
+40 -52
View File
@@ -18,6 +18,7 @@ export interface SDKSession {
project: string;
user_prompt: string;
last_user_message?: string;
last_assistant_message?: string;
}
/**
@@ -28,8 +29,12 @@ export function buildInitPrompt(project: string, sessionId: string, userPrompt:
CRITICAL: Record what was LEARNED/BUILT/FIXED/DEPLOYED/CONFIGURED, not what you (the observer) are doing.
User's Goal: ${userPrompt}
Date: ${new Date().toISOString().split('T')[0]}
You do not have access to tools. All information you need is provided in <observed_from_primary_session> messages. Create observations from what you observe - no investigation needed.
<observed_from_primary_session>
<user_request>${userPrompt}</user_request>
<requested_at>${new Date().toISOString().split('T')[0]}</requested_at>
</observed_from_primary_session>
Your job is to monitor a different Claude Code session happening RIGHT NOW, with the goal of creating observations and progress summaries as the work is being done LIVE by the user. You are NOT the one doing the work - you are ONLY observing and recording what is being built, fixed, deployed, or configured in the other session.
@@ -128,7 +133,11 @@ Output observations using this XML structure:
</observation>
\`\`\`
IMPORTANT! DO NOT do any work other than generate the OBSERVATIONS or PROGRESS SUMMARIES - and remember that you are a memory agent designed to summarize a DIFFERENT claude code session, not this one. Never reference yourself or your own actions. Never output anything other than the XML structures defined for observations and summaries. All other output is ignored and would be better left unsaid.
IMPORTANT! DO NOT do any work right now other than generating this OBSERVATIONS from tool use messages - and remember that you are a memory agent designed to summarize a DIFFERENT claude code session, not this one.
Never reference yourself or your own actions. Do not output anything other than the observation content formatted in the XML structure above. All other output is ignored by the system, and the system has been designed to be smart about token usage. Please spend your tokens wisely on useful observations.
Remember that we record these observations as a way of helping us stay on track with our progress, and to help us keep important decisions and changes at the forefront of our minds! :) Thank you so much for your help!
MEMORY PROCESSING START
=======================`;
@@ -154,30 +163,30 @@ export function buildObservationPrompt(obs: Observation): string {
toolOutput = obs.tool_output; // If parse fails, use raw value
}
return `<tool_used>
<tool_name>${obs.tool_name}</tool_name>
<tool_time>${new Date(obs.created_at_epoch).toISOString()}</tool_time>${obs.cwd ? `\n <tool_cwd>${obs.cwd}</tool_cwd>` : ''}
<tool_input>${JSON.stringify(toolInput, null, 2)}</tool_input>
<tool_output>${JSON.stringify(toolOutput, null, 2)}</tool_output>
</tool_used>`;
return `<observed_from_primary_session>
<what_happened>${obs.tool_name}</what_happened>
<occurred_at>${new Date(obs.created_at_epoch).toISOString()}</occurred_at>${obs.cwd ? `\n <working_directory>${obs.cwd}</working_directory>` : ''}
<parameters>${JSON.stringify(toolInput, null, 2)}</parameters>
<outcome>${JSON.stringify(toolOutput, null, 2)}</outcome>
</observed_from_primary_session>`;
}
/**
* Build prompt to generate progress summary
*/
export function buildSummaryPrompt(session: SDKSession): string {
const lastUserMessage = session.last_user_message || '';
const lastAssistantMessage = session.last_assistant_message || '';
return `PROGRESS SUMMARY CHECKPOINT
===========================
Write progress notes of what was done, what was learned, and what's next. This is a checkpoint to capture progress so far. The session is ongoing - you may receive more requests and tool executions after this summary. Write "next_steps" as the current trajectory of work (what's actively being worked on or coming up next), not as post-session future work. Always write at least a minimal summary explaining current progress, even if work is still in early stages, so that users see a summary output tied to each request.
Last User Message:
${lastUserMessage}
Claude's Full Response to User:
${lastAssistantMessage}
Respond in this XML format:
<summary>
<request>[Short title related to the last user message above]</request>
<request>[Short title capturing the user's request AND the substance of what was discussed/done]</request>
<investigated>[What has been explored so far? What was examined?]</investigated>
<learned>[What have you learned about how things work?]</learned>
<completed>[What work has been completed so far? What has shipped or changed?]</completed>
@@ -185,7 +194,11 @@ Respond in this XML format:
<notes>[Additional insights or observations about the current progress]</notes>
</summary>
IMPORTANT! DO NOT do any work other than generate the PROGRESS SUMMARY - and remember that you are a memory agent designed to summarize a DIFFERENT claude code session, not this one. Never reference yourself or your own actions. Never output anything other than the XML structures defined for observations and summaries. All other output is ignored and would be better left unsaid.`;
IMPORTANT! DO NOT do any work right now other than generating this next PROGRESS SUMMARY - and remember that you are a memory agent designed to summarize a DIFFERENT claude code session, not this one.
Never reference yourself or your own actions. Do not output anything other than the summary content formatted in the XML structure above. All other output is ignored by the system, and the system has been designed to be smart about token usage. Please spend your tokens wisely on useful summary content.
Thank you, this summary will be very useful for keeping track of our progress!`;
}
/**
@@ -210,43 +223,17 @@ IMPORTANT! DO NOT do any work other than generate the PROGRESS SUMMARY - and re
* First prompt: Uses buildInitPrompt instead (promptNumber === 1)
*/
export function buildContinuationPrompt(userPrompt: string, promptNumber: number, claudeSessionId: string): string {
return `This is continuation prompt #${promptNumber} for session ${claudeSessionId} that you're observing.
return `
Hello memory agent, you are continuing to observe the primary Claude session.
CRITICAL: Record what was LEARNED/BUILT/FIXED/DEPLOYED/CONFIGURED, not what you (the observer) are doing.
<observed_from_primary_session>
<user_request>${userPrompt}</user_request>
<requested_at>${new Date().toISOString().split('T')[0]}</requested_at>
</observed_from_primary_session>
User's Goal: ${userPrompt}
Date: ${new Date().toISOString().split('T')[0]}
You do not have access to tools. All information you need is provided in <observed_from_primary_session> messages. Create observations from what you observe - no investigation needed.
Your job is to continue monitoring the different Claude Code session happening RIGHT NOW, with the goal of creating observations and a progress summary as the work is being done LIVE by the user. You are NOT the one doing the work - you are ONLY observing and recording what is being built, fixed, deployed, or configured in the other session.
WHAT TO RECORD
--------------
Focus on deliverables and capabilities:
- What the system NOW DOES differently (new capabilities)
- What shipped to users/production (features, fixes, configs, docs)
- Changes in technical domains (auth, data, UI, infra, DevOps, docs)
Use verbs like: implemented, fixed, deployed, configured, migrated, optimized, added, refactored
✅ GOOD EXAMPLES (describes what was built):
- "Authentication now supports OAuth2 with PKCE flow"
- "Deployment pipeline runs canary releases with auto-rollback"
- "Database indexes optimized for common query patterns"
❌ BAD EXAMPLES (describes observation process - DO NOT DO THIS):
- "Analyzed authentication implementation and stored findings"
- "Tracked deployment steps and logged outcomes"
- "Monitored database performance and recorded metrics"
WHEN TO SKIP
------------
Skip routine operations:
- Empty status checks
- Package installations with no errors
- Simple file listings
- Repetitive operations you've already documented
- If file related research comes back as empty or not found
- **No output necessary if skipping.**
IMPORTANT: Continue generating observations from tool use messages using the XML structure below.
OUTPUT FORMAT
-------------
@@ -309,9 +296,10 @@ Output observations using this XML structure:
</observation>
\`\`\`
IMPORTANT! DO NOT do any work other than generate the OBSERVATIONS or PROGRESS SUMMARIES - and remember that you are a memory agent designed to summarize a DIFFERENT claude code session, not this one. Never reference yourself or your own actions. Never output anything other than the XML structures defined for observations and summaries. All other output is ignored and would be better left unsaid.
Never reference yourself or your own actions. Do not output anything other than the observation content formatted in the XML structure above. All other output is ignored by the system, and the system has been designed to be smart about token usage. Please spend your tokens wisely on useful observations.
MEMORY PROCESSING START
=======================`;
Remember that we record these observations as a way of helping us stay on track with our progress, and to help us keep important decisions and changes at the forefront of our minds! :) Thank you so much for your continued help!
}
MEMORY PROCESSING CONTINUED
===========================`;
}
src/servers/search-server.ts
+2 -2
View File
@@ -137,7 +137,7 @@ function formatObservationIndex(obs: ObservationSearchResult, index: number): st
* Format session summary as index entry (title, date, ID only)
*/
function formatSessionIndex(session: SessionSummarySearchResult, index: number): string {
const title = session.request || `Session ${session.sdk_session_id.substring(0, 8)}`;
const title = session.request || `Session ${session.sdk_session_id?.substring(0, 8) || 'unknown'}`;
const date = new Date(session.created_at_epoch).toLocaleString();
return `${index + 1}. ${title}
@@ -229,7 +229,7 @@ function formatObservationResult(obs: ObservationSearchResult): string {
* Format session summary as text content with metadata
*/
function formatSessionResult(session: SessionSummarySearchResult): string {
const title = session.request || `Session ${session.sdk_session_id.substring(0, 8)}`;
const title = session.request || `Session ${session.sdk_session_id?.substring(0, 8) || 'unknown'}`;
// Build content from available fields
const contentParts: string[] = [];
src/services/worker-service-LEGACY.ts
-1173
View File
File diff suppressed because it is too large Load Diff
src/services/worker-service.ts
+4 -3
View File
@@ -289,7 +289,8 @@ export class WorkerService {
private handleSessionInit(req: Request, res: Response): void {
try {
const sessionDbId = parseInt(req.params.sessionDbId, 10);
const session = this.sessionManager.initializeSession(sessionDbId);
const { userPrompt, promptNumber } = req.body;
const session = this.sessionManager.initializeSession(sessionDbId, userPrompt, promptNumber);
// Get the latest user_prompt for this session to sync to Chroma
const db = this.dbManager.getSessionStore().db;
@@ -450,9 +451,9 @@ export class WorkerService {
private handleSummarize(req: Request, res: Response): void {
try {
const sessionDbId = parseInt(req.params.sessionDbId, 10);
const { last_user_message } = req.body;
const { last_user_message, last_assistant_message } = req.body;
this.sessionManager.queueSummarize(sessionDbId, last_user_message);
this.sessionManager.queueSummarize(sessionDbId, last_user_message, last_assistant_message);
// CRITICAL: Ensure SDK agent is running to consume the queue
const session = this.sessionManager.getSession(sessionDbId);
src/services/worker-types.ts
+1
View File
@@ -29,6 +29,7 @@ export interface PendingMessage {
prompt_number?: number;
cwd?: string;
last_user_message?: string;
last_assistant_message?: string;
}
export interface ObservationData {
src/services/worker/SDKAgent.ts
+29 -18
View File
@@ -15,6 +15,7 @@ import { existsSync, readFileSync } from 'fs';
import { DatabaseManager } from './DatabaseManager.js';
import { SessionManager } from './SessionManager.js';
import { logger } from '../../utils/logger.js';
import { silentDebug } from '../../utils/silent-debug.js';
import { parseObservations, parseSummary } from '../../sdk/parser.js';
import { buildInitPrompt, buildObservationPrompt, buildSummaryPrompt, buildContinuationPrompt } from '../../sdk/prompts.js';
import type { ActiveSession, SDKUserMessage, PendingMessage } from '../worker-types.js';
@@ -43,7 +44,21 @@ export class SDKAgent {
// Get model ID and disallowed tools
const modelId = this.getModelId();
const disallowedTools = ['Bash']; // Prevent infinite loops
// Memory agent is OBSERVER ONLY - no tools allowed
const disallowedTools = [
'Bash', // Prevent infinite loops
'Read', // No file reading
'Write', // No file writing
'Edit', // No file editing
'Grep', // No code searching
'Glob', // No file pattern matching
'WebFetch', // No web fetching
'WebSearch', // No web searching
'Task', // No spawning sub-agents
'NotebookEdit', // No notebook editing
'AskUserQuestion',// No asking questions
'TodoWrite' // No todo management
];
// Create message generator (event-driven)
const messageGenerator = this.createMessageGenerator(session);
@@ -189,7 +204,8 @@ export class SDKAgent {
sdk_session_id: session.sdkSessionId,
project: session.project,
user_prompt: session.userPrompt,
last_user_message: message.last_user_message || ''
last_user_message: message.last_user_message || '',
last_assistant_message: message.last_assistant_message || ''
})
},
session_id: session.claudeSessionId,
@@ -221,15 +237,16 @@ export class SDKAgent {
sessionId: session.sessionDbId,
obsId,
type: obs.type,
title: obs.title.substring(0, 60) + (obs.title.length > 60 ? '...' : ''),
files: obs.files?.length || 0,
concepts: obs.concepts?.length || 0
title: obs.title || silentDebug('obs.title is null', { obsId, type: obs.type }, '(untitled)'),
filesRead: obs.files_read?.length ?? (silentDebug('obs.files_read is null/undefined', { obsId }), 0),
filesModified: obs.files_modified?.length ?? (silentDebug('obs.files_modified is null/undefined', { obsId }), 0),
concepts: obs.concepts?.length ?? (silentDebug('obs.concepts is null/undefined', { obsId }), 0)
});
// Sync to Chroma with error logging
const chromaStart = Date.now();
const obsType = obs.type;
const obsTitle = obs.title;
const obsTitle = obs.title || silentDebug('obs.title is null for Chroma sync', { obsId, type: obs.type }, '(untitled)');
this.dbManager.getChromaSync().syncObservation(
obsId,
session.claudeSessionId,
@@ -239,21 +256,18 @@ export class SDKAgent {
createdAtEpoch
).then(() => {
const chromaDuration = Date.now() - chromaStart;
const truncatedTitle = obsTitle.length > 50
? obsTitle.substring(0, 50) + '...'
: obsTitle;
logger.debug('CHROMA', 'Observation synced', {
obsId,
duration: `${chromaDuration}ms`,
type: obsType,
title: truncatedTitle
title: obsTitle
});
}).catch(err => {
logger.error('CHROMA', 'Failed to sync observation', {
obsId,
sessionId: session.sessionDbId,
type: obsType,
title: obsTitle.substring(0, 50)
title: obsTitle
}, err);
});
@@ -298,14 +312,14 @@ export class SDKAgent {
logger.info('SDK', 'Summary saved', {
sessionId: session.sessionDbId,
summaryId,
request: summary.request.substring(0, 60) + (summary.request.length > 60 ? '...' : ''),
request: summary.request || silentDebug('summary.request is null', { summaryId }, '(no request)'),
hasCompleted: !!summary.completed,
hasNextSteps: !!summary.next_steps
});
// Sync to Chroma with error logging
const chromaStart = Date.now();
const summaryRequest = summary.request;
const summaryRequest = summary.request || silentDebug('summary.request is null for Chroma sync', { summaryId }, '(no request)');
this.dbManager.getChromaSync().syncSummary(
summaryId,
session.claudeSessionId,
@@ -315,19 +329,16 @@ export class SDKAgent {
createdAtEpoch
).then(() => {
const chromaDuration = Date.now() - chromaStart;
const truncatedRequest = summaryRequest.length > 50
? summaryRequest.substring(0, 50) + '...'
: summaryRequest;
logger.debug('CHROMA', 'Summary synced', {
summaryId,
duration: `${chromaDuration}ms`,
request: truncatedRequest
request: summaryRequest
});
}).catch(err => {
logger.error('CHROMA', 'Failed to sync summary', {
summaryId,
sessionId: session.sessionDbId,
request: summaryRequest.substring(0, 50)
request: summaryRequest
}, err);
});
src/services/worker/SessionManager.ts
+41 -5
View File
@@ -11,6 +11,7 @@
import { EventEmitter } from 'events';
import { DatabaseManager } from './DatabaseManager.js';
import { logger } from '../../utils/logger.js';
import { silentDebug } from '../../utils/silent-debug.js';
import type { ActiveSession, PendingMessage, ObservationData } from '../worker-types.js';
export class SessionManager {
@@ -33,27 +34,61 @@ export class SessionManager {
/**
* Initialize a new session or return existing one
*/
initializeSession(sessionDbId: number): ActiveSession {
initializeSession(sessionDbId: number, currentUserPrompt?: string, promptNumber?: number): ActiveSession {
// Check if already active
let session = this.sessions.get(sessionDbId);
if (session) {
// Update userPrompt for continuation prompts
if (currentUserPrompt) {
silentDebug('[SessionManager] Updating userPrompt for continuation', {
sessionDbId,
promptNumber,
oldPrompt: session.userPrompt.substring(0, 80),
newPrompt: currentUserPrompt.substring(0, 80)
});
session.userPrompt = currentUserPrompt;
session.lastPromptNumber = promptNumber || session.lastPromptNumber;
} else {
silentDebug('[SessionManager] No currentUserPrompt provided for existing session', {
sessionDbId,
promptNumber,
usingCachedPrompt: session.userPrompt.substring(0, 80)
});
}
return session;
}
// Fetch from database
const dbSession = this.dbManager.getSessionById(sessionDbId);
// Use currentUserPrompt if provided, otherwise fall back to database (first prompt)
const userPrompt = currentUserPrompt || dbSession.user_prompt;
if (!currentUserPrompt) {
silentDebug('[SessionManager] No currentUserPrompt provided for new session, using database', {
sessionDbId,
promptNumber,
dbPrompt: dbSession.user_prompt.substring(0, 80)
});
} else {
silentDebug('[SessionManager] Initializing session with fresh userPrompt', {
sessionDbId,
promptNumber,
userPrompt: currentUserPrompt.substring(0, 80)
});
}
// Create active session
session = {
sessionDbId,
claudeSessionId: dbSession.claude_session_id,
sdkSessionId: null,
project: dbSession.project,
userPrompt: dbSession.user_prompt,
userPrompt,
pendingMessages: [],
abortController: new AbortController(),
generatorPromise: null,
lastPromptNumber: this.dbManager.getSessionStore().getPromptCounter(sessionDbId),
lastPromptNumber: promptNumber || this.dbManager.getSessionStore().getPromptCounter(sessionDbId),
startTime: Date.now()
};
@@ -123,7 +158,7 @@ export class SessionManager {
* Queue a summarize request (zero-latency notification)
* Auto-initializes session if not in memory but exists in database
*/
queueSummarize(sessionDbId: number, lastUserMessage: string): void {
queueSummarize(sessionDbId: number, lastUserMessage: string, lastAssistantMessage?: string): void {
// Auto-initialize from database if needed (handles worker restarts)
let session = this.sessions.get(sessionDbId);
if (!session) {
@@ -134,7 +169,8 @@ export class SessionManager {
session.pendingMessages.push({
type: 'summarize',
last_user_message: lastUserMessage
last_user_message: lastUserMessage,
last_assistant_message: lastAssistantMessage
});
const afterDepth = session.pendingMessages.length;
src/types/transcript.ts
+174
View File
@@ -0,0 +1,174 @@
/**
* TypeScript types for Claude Code transcript JSONL structure
* Based on Python Pydantic models from docs/context/cc-transcript-model-example.py
*/
export interface TodoItem {
id: string;
content: string;
status: 'pending' | 'in_progress' | 'completed';
priority: 'high' | 'medium' | 'low';
}
export interface UsageInfo {
input_tokens?: number;
cache_creation_input_tokens?: number;
cache_read_input_tokens?: number;
output_tokens?: number;
service_tier?: string;
server_tool_use?: any;
}
export interface TextContent {
type: 'text';
text: string;
}
export interface ToolUseContent {
type: 'tool_use';
id: string;
name: string;
input: Record<string, any>;
}
export interface ToolResultContent {
type: 'tool_result';
tool_use_id: string;
content: string | Array<Record<string, any>>;
is_error?: boolean;
}
export interface ThinkingContent {
type: 'thinking';
thinking: string;
signature?: string;
}
export interface ImageSource {
type: 'base64';
media_type: string;
data: string;
}
export interface ImageContent {
type: 'image';
source: ImageSource;
}
export type ContentItem =
| TextContent
| ToolUseContent
| ToolResultContent
| ThinkingContent
| ImageContent;
export interface UserMessage {
role: 'user';
content: string | ContentItem[];
}
export interface AssistantMessage {
id: string;
type: 'message';
role: 'assistant';
model: string;
content: ContentItem[];
stop_reason?: string;
stop_sequence?: string;
usage?: UsageInfo;
}
export interface FileInfo {
filePath: string;
content: string;
numLines: number;
startLine: number;
totalLines: number;
}
export interface FileReadResult {
type: 'text';
file: FileInfo;
}
export interface CommandResult {
stdout: string;
stderr: string;
interrupted: boolean;
isImage: boolean;
}
export interface TodoResult {
oldTodos: TodoItem[];
newTodos: TodoItem[];
}
export interface EditResult {
oldString?: string;
newString?: string;
replaceAll?: boolean;
originalFile?: string;
structuredPatch?: any;
userModified?: boolean;
}
export type ToolUseResult =
| string
| TodoItem[]
| FileReadResult
| CommandResult
| TodoResult
| EditResult
| ContentItem[];
export interface BaseTranscriptEntry {
parentUuid?: string;
isSidechain: boolean;
userType: string;
cwd: string;
sessionId: string;
version: string;
uuid: string;
timestamp: string;
isMeta?: boolean;
}
export interface UserTranscriptEntry extends BaseTranscriptEntry {
type: 'user';
message: UserMessage;
toolUseResult?: ToolUseResult;
}
export interface AssistantTranscriptEntry extends BaseTranscriptEntry {
type: 'assistant';
message: AssistantMessage;
requestId?: string;
}
export interface SummaryTranscriptEntry {
type: 'summary';
summary: string;
leafUuid: string;
cwd?: string;
}
export interface SystemTranscriptEntry extends BaseTranscriptEntry {
type: 'system';
content: string;
level?: string; // 'warning', 'info', 'error'
}
export interface QueueOperationTranscriptEntry {
type: 'queue-operation';
operation: 'enqueue' | 'dequeue';
timestamp: string;
sessionId: string;
content?: ContentItem[]; // Only present for enqueue operations
}
export type TranscriptEntry =
| UserTranscriptEntry
| AssistantTranscriptEntry
| SummaryTranscriptEntry
| SystemTranscriptEntry
| QueueOperationTranscriptEntry;
src/utils/silent-debug.ts
+86
View File
@@ -0,0 +1,86 @@
/**
* Silent Debug Logger
*
* NOTE: This utility is to be used like Frank's Red Hot, we put that shit on everything.
*
* USE THIS INSTEAD OF SILENT FAILURES!
* Stop doing this: `const value = something || '';`
* Start doing this: `const value = something || silentDebug('something was undefined');`
*
* Logs to ~/.claude-mem/silent.log and returns a fallback value.
* Check logs with `npm run logs:silent`
*
* Usage:
* import { silentDebug } from '../utils/silent-debug.js';
*
* const title = obs.title || silentDebug('obs.title missing', { obs });
* const name = user.name || silentDebug('user.name missing', { user }, 'Anonymous');
*
* try {
* doSomething();
* } catch (error) {
* silentDebug('doSomething failed', { error });
* }
*/
import { appendFileSync } from 'fs';
import { homedir } from 'os';
import { join } from 'path';
const LOG_FILE = join(homedir(), '.claude-mem', 'silent.log');
/**
* Write a debug message to silent.log and return fallback value
* @param message - The message to log
* @param data - Optional data to include (will be JSON stringified)
* @param fallback - Value to return (defaults to empty string)
* @returns The fallback value (for use in || fallbacks)
*/
export function silentDebug(message: string, data?: any, fallback: string = ''): string {
const timestamp = new Date().toISOString();
// Capture stack trace to get caller location
const stack = new Error().stack || '';
const stackLines = stack.split('\n');
// Line 0: "Error"
// Line 1: "at silentDebug ..."
// Line 2: "at <CALLER> ..." <- We want this one
const callerLine = stackLines[2] || '';
const callerMatch = callerLine.match(/at\s+(?:.*\s+)?\(?([^:]+):(\d+):(\d+)\)?/);
const location = callerMatch
? `${callerMatch[1].split('/').pop()}:${callerMatch[2]}`
: 'unknown';
let logLine = `[${timestamp}] [${location}] ${message}`;
if (data !== undefined) {
try {
logLine += ` ${JSON.stringify(data)}`;
} catch (error) {
logLine += ` [stringify error: ${error}]`;
}
}
logLine += '\n';
try {
appendFileSync(LOG_FILE, logLine);
} catch (error) {
// If we can't write to the log file, fail silently (it's a debug utility after all)
// Only write to stderr as a last resort
console.error('[silent-debug] Failed to write to log:', error);
}
return fallback;
}
/**
* Clear the silent log file
*/
export function clearSilentLog(): void {
try {
appendFileSync(LOG_FILE, `\n${'='.repeat(80)}\n[${new Date().toISOString()}] Log cleared\n${'='.repeat(80)}\n\n`);
} catch (error) {
// Ignore errors
}
}
src/utils/transcript-parser.ts
+254
View File
@@ -0,0 +1,254 @@
/**
* TranscriptParser - Properly parse Claude Code transcript JSONL files
* Handles all transcript entry types based on validated model
*/
import { readFileSync } from 'fs';
import type {
TranscriptEntry,
UserTranscriptEntry,
AssistantTranscriptEntry,
SummaryTranscriptEntry,
SystemTranscriptEntry,
QueueOperationTranscriptEntry,
ContentItem,
TextContent,
} from '../types/transcript.js';
export interface ParseStats {
totalLines: number;
parsedEntries: number;
failedLines: number;
entriesByType: Record<string, number>;
failureRate: number;
}
export class TranscriptParser {
private entries: TranscriptEntry[] = [];
private parseErrors: Array<{ lineNumber: number; error: string }> = [];
constructor(transcriptPath: string) {
this.parseTranscript(transcriptPath);
}
private parseTranscript(transcriptPath: string): void {
const content = readFileSync(transcriptPath, 'utf-8').trim();
if (!content) return;
const lines = content.split('\n');
lines.forEach((line, index) => {
try {
const entry = JSON.parse(line) as TranscriptEntry;
this.entries.push(entry);
} catch (error) {
this.parseErrors.push({
lineNumber: index + 1,
error: error instanceof Error ? error.message : String(error),
});
}
});
}
/**
* Get all entries of a specific type
*/
getEntriesByType<T extends TranscriptEntry>(type: T['type']): T[] {
return this.entries.filter((e) => e.type === type) as T[];
}
/**
* Get all user entries
*/
getUserEntries(): UserTranscriptEntry[] {
return this.getEntriesByType<UserTranscriptEntry>('user');
}
/**
* Get all assistant entries
*/
getAssistantEntries(): AssistantTranscriptEntry[] {
return this.getEntriesByType<AssistantTranscriptEntry>('assistant');
}
/**
* Get all summary entries
*/
getSummaryEntries(): SummaryTranscriptEntry[] {
return this.getEntriesByType<SummaryTranscriptEntry>('summary');
}
/**
* Get all system entries
*/
getSystemEntries(): SystemTranscriptEntry[] {
return this.getEntriesByType<SystemTranscriptEntry>('system');
}
/**
* Get all queue operation entries
*/
getQueueOperationEntries(): QueueOperationTranscriptEntry[] {
return this.getEntriesByType<QueueOperationTranscriptEntry>('queue-operation');
}
/**
* Get last entry of a specific type
*/
getLastEntryByType<T extends TranscriptEntry>(type: T['type']): T | null {
const entries = this.getEntriesByType<T>(type);
return entries.length > 0 ? entries[entries.length - 1] : null;
}
/**
* Extract text content from content items
*/
private extractTextFromContent(content: string | ContentItem[]): string {
if (typeof content === 'string') {
return content;
}
if (Array.isArray(content)) {
return content
.filter((item): item is TextContent => item.type === 'text')
.map((item) => item.text)
.join('\n');
}
return '';
}
/**
* Get last user message text (finds last entry with actual text content)
*/
getLastUserMessage(): string {
const userEntries = this.getUserEntries();
// Iterate backward to find the last user message with text content
for (let i = userEntries.length - 1; i >= 0; i--) {
const entry = userEntries[i];
if (!entry?.message?.content) continue;
const text = this.extractTextFromContent(entry.message.content);
if (text) return text;
}
return '';
}
/**
* Get last assistant message text (finds last entry with text content, with optional system-reminder filtering)
*/
getLastAssistantMessage(filterSystemReminders = true): string {
const assistantEntries = this.getAssistantEntries();
// Iterate backward to find the last assistant message with text content
for (let i = assistantEntries.length - 1; i >= 0; i--) {
const entry = assistantEntries[i];
if (!entry?.message?.content) continue;
let text = this.extractTextFromContent(entry.message.content);
if (!text) continue;
if (filterSystemReminders) {
// Filter out system-reminder tags and their content
text = text.replace(/<system-reminder>[\s\S]*?<\/system-reminder>/g, '');
// Clean up excessive whitespace
text = text.replace(/\n{3,}/g, '\n\n').trim();
}
if (text) return text;
}
return '';
}
/**
* Get all tool use operations from assistant entries
*/
getToolUseHistory(): Array<{ name: string; timestamp: string; input: any }> {
const toolUses: Array<{ name: string; timestamp: string; input: any }> = [];
for (const entry of this.getAssistantEntries()) {
if (Array.isArray(entry.message.content)) {
for (const item of entry.message.content) {
if (item.type === 'tool_use') {
toolUses.push({
name: item.name,
timestamp: entry.timestamp,
input: item.input,
});
}
}
}
}
return toolUses;
}
/**
* Get total token usage across all assistant messages
*/
getTotalTokenUsage(): {
inputTokens: number;
outputTokens: number;
cacheCreationTokens: number;
cacheReadTokens: number;
} {
const assistantEntries = this.getAssistantEntries();
return assistantEntries.reduce(
(acc, entry) => {
const usage = entry.message.usage;
if (usage) {
acc.inputTokens += usage.input_tokens || 0;
acc.outputTokens += usage.output_tokens || 0;
acc.cacheCreationTokens += usage.cache_creation_input_tokens || 0;
acc.cacheReadTokens += usage.cache_read_input_tokens || 0;
}
return acc;
},
{
inputTokens: 0,
outputTokens: 0,
cacheCreationTokens: 0,
cacheReadTokens: 0,
}
);
}
/**
* Get parse statistics
*/
getParseStats(): ParseStats {
const entriesByType: Record<string, number> = {};
for (const entry of this.entries) {
entriesByType[entry.type] = (entriesByType[entry.type] || 0) + 1;
}
const totalLines = this.entries.length + this.parseErrors.length;
return {
totalLines,
parsedEntries: this.entries.length,
failedLines: this.parseErrors.length,
entriesByType,
failureRate: totalLines > 0 ? this.parseErrors.length / totalLines : 0,
};
}
/**
* Get parse errors
*/
getParseErrors(): Array<{ lineNumber: number; error: string }> {
return this.parseErrors;
}
/**
* Get all entries (raw)
*/
getAllEntries(): TranscriptEntry[] {
return this.entries;
}
}