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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. 185 installs a week from pypi. Last commit 24 Oct 2026.

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

Installs per day peak 606 · avg 107 · -86% w/w
a month agotoday
185
Installs / week
pypi · turbo-quant-memory
9
Stars
0 open issues
24 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 1 d ago · rules 995398eba69f

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": {
      "command": "uvx",
      "args": [
        "turbo-quant-memory"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.turbo-quant-memory]
command = "uvx"
args = ["turbo-quant-memory"]
.cursor/mcp.json
{
  "mcpServers": {
    "turbo-quant-memory": {
      "command": "uvx",
      "args": [
        "turbo-quant-memory"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "turbo-quant-memory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "turbo-quant-memory"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: 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).

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answering

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 was installed 185 times last week.
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 in the form 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.
How many people use Turbo Quant Memory?
The pypi package turbo-quant-memory was installed 185 times in the last week. Week over week that is -86%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
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.