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A Mem MCP Server

local only

A Mem MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 157 installs a week from pypi. Last commit 17 Jan 2026.

Self-evolving memory system for AI agents

Installs per day peak 65 · avg 29 · -26% w/w
a month agotoday
157
Installs / week
pypi · a-mem
35
Stars
0 open issues
17 Jan 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 4 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.

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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 a-mem-mcp -e 'OPENAI_API_KEY=<OPENAI_API_KEY>' -- uvx a-mem
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "a-mem-mcp": {
      "command": "uvx",
      "args": [
        "a-mem"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.a-mem-mcp]
command = "uvx"
args = ["a-mem"]
env = { OPENAI_API_KEY = "<OPENAI_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "a-mem-mcp": {
      "command": "uvx",
      "args": [
        "a-mem"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "a-mem-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "a-mem"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>"
      }
    }
  }
}

Put your own value in place of <OPENAI_API_KEY> (OpenAI API key (required if LLM_BACKEND=openai)). The author’s registry entry marks it as required.

Optional settings from the registry entry, left out of the block above: LLM_BACKEND (LLM backend to use (openai, ollama, sglang, or openrouter)), LLM_MODEL (LLM model name (e.g., gpt-4o-mini, llama2, etc.)), EMBEDDING_MODEL (Sentence transformer model for embeddings), CHROMA_DB_PATH (ChromaDB storage directory path).

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A Mem MCP — questions

Answers built from our own checks of this server.

Why is there no uptime for A Mem MCP?
A Mem MCP 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 a-mem was installed 157 times last week.
How do I connect A Mem MCP?
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 a-mem straight from pypi; nothing to host, nothing to sign up for.
How many people use A Mem MCP?
The pypi package a-mem was installed 157 times in the last week. Week over week that is -26%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is A Mem MCP open source?
Yes — it is published under the MIT licence, written in Python and 35 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.