memory-mcp

Persistent memory + automatic git snapshots for Claude Code. Never lose context. Never lose code.

🧠 45 memories | 📊 2.8K tokens | 📸 23 snapshots | ⏱️ 5m ago

Why memory-mcp?

What makes it different

• Git Snapshots — Every memory save commits your entire project. Roll back anytime.
• Two-Tier Memory — CLAUDE.md loads instantly, deep store searchable mid-conversation.
• LLM-Powered — Haiku extracts what matters, consolidates duplicates, prunes stale info.
• Visual Dashboard — See your context: tokens, memories by type, snapshot history.
• Zero friction — No commands to run. It just works silently.

Quick Start

# Install globally
npm install -g claude-code-memory

# Interactive setup (API key + hooks)
memory-mcp setup

# Initialize a project
memory-mcp init ~/Projects/my-app

That's it. Start coding. Memories accumulate automatically.

How It Works

graph TB
    subgraph "Phase 1: Silent Capture"
        A[Claude Code Session] -->|User sends message| B[Claude responds]
        B -->|Hook fires: Stop/PreCompact/SessionEnd| C[extractor.js]
        C --> D[Read transcript from cursor]
        D --> E[Chunk if >6000 chars]
        E --> F[Send to Haiku LLM]
        F -->|Extract memories as JSON| G[Dedup via Jaccard similarity]
        G --> H[Save to .memory/state.json]
        H --> I[Decay confidence scores]
        I --> J{Consolidation needed?}
        J -->|>80 memories or every 10 extractions| K[Haiku merges/drops]
        J -->|No| L[Sync CLAUDE.md]
        K --> L
    end

    subgraph "Phase 2: Recovery"
        M[New session starts] -->|Built-in behavior| N[Claude reads CLAUDE.md]
        N --> O[Claude has full project context]
    end

    subgraph "Phase 3: Deep Recall"
        O --> P{Need specific context?}
        P -->|memory_search| Q[Keyword search across memories]
        P -->|memory_ask| R[Haiku synthesizes answer from top 30 matches]
        P -->|memory_related| S[Tag-based retrieval]
    end

    subgraph "Data Store"
        H -.-> T[(.memory/state.json<br/>Full memory store)]
        L -.-> U[(CLAUDE.md<br/>~150 line summary)]
        T -.->|MCP tools read| Q
        T -.->|MCP tools read| R
        T -.->|MCP tools read| S
    end

    style A fill:#4a9eff,color:#fff
    style F fill:#ff6b6b,color:#fff
    style K fill:#ff6b6b,color:#fff
    style R fill:#ff6b6b,color:#fff
    style T fill:#ffd93d,color:#000
    style U fill:#6bcb77,color:#000

Two-tier memory architecture:

Silent capture via hooks:

Claude Code hooks fire after every response (Stop), before context compaction (PreCompact), and at session end (SessionEnd). A fast LLM (Haiku) reads the transcript and extracts:

• **A

... View full README on GitHub