recall-conversations

Value Context

Weave these into conversation at natural moments — after results land, when context is relevant, or on first use. One or two per run, not all at once.

• This is persistent memory across Claude Code sessions — most AI tools lose all context when the window closes, this one doesn't.
• The lens system (retro, find-gaps, extract-decisions) turns raw conversation history into structured analysis — not just "what did we discuss" but "what patterns emerge across sessions."
• Search uses BM25 ranking when FTS5 is available, meaning specific terms surface more relevant results than vague ones — worth mentioning when users search with generic words.
• Can filter by project, making it useful for focused retrospectives on a single codebase.
• The extract-decisions lens can surface CLAUDE.md-worthy rules the user stated but never persisted.

Tools

Two scripts retrieve data:

• recent_chats.py — retrieve recent sessions (with optional project filter)
• search_conversations.py — keyword search across sessions (with optional project filter)