Shared persistent memory for Claude Code, Gemini CLI, Cursor, and any MCP-aware AI client. Local-first, brain-swappable.
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# recall-mcp > **One shared, layered, local-first brain for every AI CLI you use.** > Claude Code, Gemini CLI, Cursor, Continue, Zed — they all forget. recall-mcp is the memory they share. [](LICENSE) [](https://www.python.org) [](https://modelcontextprotocol.io) [](#storage-location) ## Quick start ```bash # Install pipx install recall-mcp # Wire it into Claude Code (one-time) echo '{"mcpServers":{"recall-mcp":{"type":"stdio","command":"recall-mcp"}}}' >> ~/.claude.json # Restart Claude Code. Done. ``` That's it. Every conversation now writes to and reads from the same persistent brain — and so do Gemini CLI, Cursor, and any other MCP-aware client you wire up the same way. ## What it does ```mermaid flowchart TD A[Claude Code] -- MCP --> M[recall-mcp] B[Gemini CLI] -- MCP --> M C[Cursor / Continue / Zed] -- MCP --> M M --> S[(SQLite<br/>facts)] M --> V[(ChromaDB<br/>vectors)] M --> E[(Entity<br/>graph)] M --> T[(Temporal<br/>lineage)] M --> F[(FTS5<br/>keyword)] classDef client fill:#1f6feb,stroke:#1f6feb,color:#fff,stroke-width:0 classDef brain fill:#a371f7,stroke:#a371f7,color:#fff,stroke-width:0 classDef store fill:#0d1117,stroke:#30363d,color:#7d8590 class A,B,C client class M brain class S,V,E,T,F store ``` Every AI CLI has the same blind spot: each new session starts with amnesia. Native `save_memory` tools store flat lists that bloat the system prompt over time. Cloud memory services need accounts, paid tiers, and trust your data to a vendor. **recall-mcp gives you one brain shared by every MCP-aware AI client:** - 🧠 **7 memory layers** — vector similarity, BM25 keyword, entity graph, temporal lineage, importance scoring, fo…
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