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Turbo Quant Memory MCP Server

by lexus2016 Your server? Claim it
local only

Turbo Quant Memory runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 16 Sep 2026.

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

Installs / week
pypi · turbo-quant-memory
9
Stars
0 open issues
16 Sep 2026
Last commit
no recent releases
MIT
License
Python

What the code does

We read the source, 20 h ago · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add turbo-quant-memory -- uvx turbo-quant-memory
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "turbo-quant-memory": {
      "args": [
        "turbo-quant-memory"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.turbo-quant-memory]
command = "uvx"
args = ["turbo-quant-memory"]
.cursor/mcp.json
{
  "mcpServers": {
    "turbo-quant-memory": {
      "args": [
        "turbo-quant-memory"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "turbo-quant-memory": {
      "args": [
        "turbo-quant-memory"
      ],
      "command": "uvx"
    }
  }
}

This one needs environment variables set before it will start: TQMEMORY_FTS_LANGUAGE (Snowball stemmer for the BM25 lane. Use Russian for Cyrillic-dominant corpora.), TQMEMORY_EMBEDDING_BACKEND (Embedder backend. Default fastembed (ONNX); sentence-transformers needs the [torch] extra.), TQMEMORY_MIGRATE_ON_STARTUP (Set to 1 to apply pending schema migrations automatically on startup.), TQMEMORY_SECRETS_PASSPHRASE (Argon2id passphrase for the secrets vault on headless hosts. Omit to use the OS keyring.). The author declared them in the registry entry; get the values from the project itself.

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Turbo Quant Memory — questions

Answers built from our own checks of this server.

Why is there no uptime for Turbo Quant Memory?
Turbo Quant Memory runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package turbo-quant-memory.
How do I connect Turbo Quant Memory?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls turbo-quant-memory straight from pypi; nothing to host, nothing to sign up for.
Is Turbo Quant Memory open source?
Yes — it is published under the MIT licence, written in Python and 9 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.