claude-memory-fts

- Hybrid search— FTS5 keyword search + semantic vector similarity, merged via Reciprocal Rank Fusion (RRF)
- Semantic understanding— find memories by meaning, not just keywords (powered by all-MiniLM-L6-v2 embeddings)
- Auto context injection— top 30 most important memories injected into every prompt via hook
- Importance ranking— facts ranked by access frequency, recency decay, and category weight
- Access tracking— tracks how often each memory is accessed
- Upsert— automatically updates existing facts instead of duplicating
- Categorized— organize by type: preference, decision, technical, project, workflow, personal, general
- MCP Resources— exposesmemory://contextresource for session context
- Zero config— works out of the box, stores data in~/.claude/memory.db

# Add to Claude Code claude mcp add memory -- npx claude-memory-fts # Auto-configure context injection hook (recommended) npx claude-memory-fts --setup-hook

- Creates~/.claude/scripts/memory-context.sh
- Adds aUserPromptSubmithook to~/.claude/settings.json
- Top 30 memories are injected into every prompt automatically

claude mcp add memory -e MEMORY_DB_PATH=/path/to/my/memory.db -- npx claude-memory-fts

Hybrid search: runs FTS5 and semantic search in parallel, merges results with RRF. Falls back to LIKE for partial matches.

Update a memory's content or category by ID.

List all saved memories grouped by category.

MCP resource exposing top 30 facts ranked by importance score:

- Access frequency— frequently accessed facts score higher (capped at 20 points)
- Recency— recently updated facts score higher (10 points, decays over 90 days)
- Category weight— preference/decision (3), workflow/technical (2), project/personal (1), general (0)
- FTS5 + BM25andsemantic vector similarityrun in parallel
- Results are merged and deduplicated usingReciprocal Rank Fusion(k=60)
- Facts appearing in both lists get naturally boosted
- If both return empty, falls back toLIKEsubstring matching
- Access count is tracked on every search hit

- SQLite with WAL mode for fast concurrent reads/writes
- FTS5 virtual table synced via triggers for real-time full-text indexing
- Embeddings stored as BLOB columns alongside facts

git clone https://github.com/kurovu146/claude-memory-mcp.git cd claude-memory-mcp npm install npm run build npm test

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