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MemoCat — Shared AI Memory MCP Server

local only

MemoCat — Shared AI Memory runs on your own machine — the client starts it, so there is no endpoint to ping. 173 installs a week from pypi. Last commit 5 Oct 2026.

One shared, persistent memory across AI agents and systems, with semantic recall and live updates.

Installs per day peak 374 · avg 51 · -46% w/w
a month agotoday
173
Installs / week
pypi · memocat-mcp
24
Stars
2 open issues
5 Oct 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 5 d ago · rules 995398eba69f

In the project's build, not in the package

Found in continuous integration, deployment or infrastructure files, or in a neighbouring package of the same monorepo. None of this is installed when you add the server: it describes how the project is built and released. We list it because a leaked key in a build pipeline is still a real problem, but it is not something this server does on your machine.

Runs an external command montycat_mcp/bootstrap.py:504
        completed = subprocess.run(  # noqa: S603 - our own verified binary

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

Nothing serious here today

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

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 memocat-mcp -- uvx memocat-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "memocat-mcp": {
      "command": "uvx",
      "args": [
        "memocat-mcp"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.memocat-mcp]
command = "uvx"
args = ["memocat-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "memocat-mcp": {
      "command": "uvx",
      "args": [
        "memocat-mcp"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "memocat-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "memocat-mcp"
      ]
    }
  }
}

Optional settings from the registry entry, left out of the block above: MONTYCAT_URI (Optional Montycat engine URI: montycat://user:password@host:port/store), MONTYCAT_TLS (Set to true when connecting to a TLS-enabled remote Montycat engine).

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MemoCat — Shared AI Memory — questions

Answers built from our own checks of this server.

Why is there no uptime for MemoCat — Shared AI Memory?
MemoCat — Shared AI 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 memocat-mcp was installed 173 times last week.
How do I connect MemoCat — Shared AI 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 memocat-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use MemoCat — Shared AI Memory?
The pypi package memocat-mcp was installed 173 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 MemoCat — Shared AI Memory open source?
Yes — it is published under the MIT licence, written in Python, 24 stars on GitHub and 2 open issues. The source link is on this page, so you can read exactly what it does with your data before you connect it.