Turbo Quant Memory

io.github.Lexus2016/turbo-quant-memory

Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.

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Connect this server

Add this to your MCP client config — claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor).Suits: Claude Desktop · Cursor.

{
  "mcpServers": {
    "turbo-quant-memory": {
      "command": "uvx",
      "args": [
        "turbo-quant-memory"
      ],
      "env": {
        "TQMEMORY_FTS_LANGUAGE": "English",
        "TQMEMORY_EMBEDDING_BACKEND": "fastembed",
        "TQMEMORY_MIGRATE_ON_STARTUP": "0",
        "TQMEMORY_SECRETS_PASSPHRASE": "<your TQMEMORY_SECRETS_PASSPHRASE>"
      }
    }
  }
}
Environment variables
  • TQMEMORY_FTS_LANGUAGESnowball stemmer for the BM25 lane. Use Russian for Cyrillic-dominant corpora.
  • TQMEMORY_EMBEDDING_BACKENDEmbedder backend. Default fastembed (ONNX); sentence-transformers needs the [torch] extra.
  • TQMEMORY_MIGRATE_ON_STARTUPSet to 1 to apply pending schema migrations automatically on startup.
  • TQMEMORY_SECRETS_PASSPHRASEsecretArgon2id passphrase for the secrets vault on headless hosts. Omit to use the OS keyring.

A starting point — check the repository for exact arguments and setup. Restart your client after editing the config.

Category
Developer Tools
Version
0.34.0
Registry
active
Published
10/21/2026

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