Mnemo MCP Server

by n24q02m Your server? Claim it

local only

Mnemo runs on your own machine — the client starts it, so there is no endpoint to ping. 1 256 installs a week from pypi. Last commit 1 Nov 2026.

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Installs per day peak 2 353 · avg 522 · -46% w/w

a month agotoday

1 256

Installs / week

pypi · mnemo-mcp

Stars

1 open issue

1 Nov 2026

Last commit

from GitHub

Apache-2.0

License

Python

Nothing serious here today

Today is the operative word: we check Mnemo every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add mnemo -- uvx mnemo-mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "mnemo-mcp"
      ]
    }
  }
}

~/.codex/config.toml

[mcp_servers.mnemo]
command = "uvx"
args = ["mnemo-mcp"]

.cursor/mcp.json

{
  "mcpServers": {
    "mnemo": {
      "command": "uvx",
      "args": [
        "mnemo-mcp"
      ]
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "mnemo": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "mnemo-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: API_KEYS (Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local).

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Mnemo — questions

Answers built from our own checks of this server.

Why is there no uptime for Mnemo?

Mnemo 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 mnemo-mcp was installed 1 256 times last week.

How do I connect Mnemo?

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 mnemo-mcp straight from pypi; nothing to host, nothing to sign up for.

How many people use Mnemo?

The pypi package mnemo-mcp was installed 1 256 times in the last week. Week over week that is -46%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Mnemo open source?

Yes — it is published under the Apache-2.0 licence, written in Python, 12 stars on GitHub and 1 open issue. The source link is on this page, so you can read exactly what it does with your data before you connect it.