This plan addresses the gap where claude-mem captures tool executions but
not the user's actual requests/instructions. By storing raw prompts in a
dedicated table with FTS5 search, we can:
- See what the user actually said (not just what Claude did)
- Identify patterns where Claude didn't listen
- Search across time for repeated user requests
- Reconstruct full conversation context
Plan includes:
- Database schema (user_prompts table + FTS5)
- Code changes (SessionStore, SessionSearch, new-hook, MCP server)
- Testing strategy
- Open questions about implementation details
Ready for implementation in fresh context.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Alex Newman