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Turbo Quant Memory

MCP server · by Lexus2016

Knowledge & Memory Python v0.30.0

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

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Install

Run one of the commands below, then add the client config underneath.

Pythonuvx turbo-quant-memory

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "turbo-quant-memory": {
      "command": "uvx",
      "args": [
        "turbo-quant-memory"
      ]
    }
  }
}

About this server

Turbo Quant Memory is listed in the Knowledge & Memory category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Turbo Quant Memory MCP server?

Turbo Quant Memory is an MCP server by Lexus2016. Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.

How do I install Turbo Quant Memory?

Install it with: uvx turbo-quant-memory. Then add the JSON config to your client's MCP settings and restart the client.

Is Turbo Quant Memory free to use?

The MCP server itself is free to install. The source is public on https://github.com/Lexus2016/turbo_quant_memory. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Turbo Quant Memory?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.