docs: remove token savings mention from mem-search skill description
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@@ -79,7 +79,7 @@ Restart Claude Code. Context from previous sessions will automatically appear in
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- 🧠 **Persistent Memory** - Context survives across sessions
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- 🧠 **Persistent Memory** - Context survives across sessions
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- 📊 **Progressive Disclosure** - Layered memory retrieval with token cost visibility
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- 📊 **Progressive Disclosure** - Layered memory retrieval with token cost visibility
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- 🔍 **Skill-Based Search** - Query your project history with mem-search skill (~2,250 token savings)
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- 🔍 **Skill-Based Search** - Query your project history with mem-search skill
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- 🖥️ **Web Viewer UI** - Real-time memory stream at http://localhost:37777
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- 🖥️ **Web Viewer UI** - Real-time memory stream at http://localhost:37777
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- 💻 **Claude Desktop Skill** - Search memory from Claude Desktop conversations
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- 💻 **Claude Desktop Skill** - Search memory from Claude Desktop conversations
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- 🔒 **Privacy Control** - Use `<private>` tags to exclude sensitive content from storage
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- 🔒 **Privacy Control** - Use `<private>` tags to exclude sensitive content from storage
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@@ -160,7 +160,7 @@ npx mintlify dev
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2. **Smart Install** - Cached dependency checker (pre-hook script, not a lifecycle hook)
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2. **Smart Install** - Cached dependency checker (pre-hook script, not a lifecycle hook)
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3. **Worker Service** - HTTP API on port 37777 with web viewer UI and 10 search endpoints, managed by Bun
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3. **Worker Service** - HTTP API on port 37777 with web viewer UI and 10 search endpoints, managed by Bun
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4. **SQLite Database** - Stores sessions, observations, summaries with FTS5 full-text search
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4. **SQLite Database** - Stores sessions, observations, summaries with FTS5 full-text search
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5. **mem-search Skill** - Natural language queries with progressive disclosure (~2,250 token savings vs MCP)
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5. **mem-search Skill** - Natural language queries with progressive disclosure
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6. **Chroma Vector Database** - Hybrid semantic + keyword search for intelligent context retrieval
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6. **Chroma Vector Database** - Hybrid semantic + keyword search for intelligent context retrieval
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See [Architecture Overview](https://docs.claude-mem.ai/architecture/overview) for details.
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See [Architecture Overview](https://docs.claude-mem.ai/architecture/overview) for details.
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@@ -174,7 +174,6 @@ Claude-Mem provides intelligent search through the mem-search skill that auto-in
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**How It Works:**
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**How It Works:**
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- Just ask naturally: *"What did we do last session?"* or *"Did we fix this bug before?"*
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- Just ask naturally: *"What did we do last session?"* or *"Did we fix this bug before?"*
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- Claude automatically invokes the mem-search skill to find relevant context
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- Claude automatically invokes the mem-search skill to find relevant context
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- ~2,250 token savings per session start vs MCP approach
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**Available Search Operations:**
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**Available Search Operations:**
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@@ -5,7 +5,7 @@ description: "mem-search skill with HTTP API and progressive disclosure"
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# Search Architecture
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# Search Architecture
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Claude-Mem uses a skill-based search architecture that provides intelligent memory retrieval through natural language queries. This replaced the MCP-based approach in v5.4.0, saving ~2,250 tokens per session start. The skill was enhanced and renamed to "mem-search" in v5.5.0 for better scope differentiation.
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Claude-Mem uses a skill-based search architecture that provides intelligent memory retrieval through natural language queries. This replaced the MCP-based approach in v5.4.0 with a more efficient implementation. The skill was enhanced and renamed to "mem-search" in v5.5.0 for better scope differentiation.
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## Overview
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## Overview
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