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
We read the source, 4 d ago · rules 995398eba69f
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.
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.
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 mcp add a-mem-mcp -e 'OPENAI_API_KEY=<OPENAI_API_KEY>' -- uvx a-mem
{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem"
],
"env": {
"OPENAI_API_KEY": "<OPENAI_API_KEY>"
}
}
}
}
[mcp_servers.a-mem-mcp]
command = "uvx"
args = ["a-mem"]
env = { OPENAI_API_KEY = "<OPENAI_API_KEY>" }
{
"mcpServers": {
"a-mem-mcp": {
"command": "uvx",
"args": [
"a-mem"
],
"env": {
"OPENAI_API_KEY": "<OPENAI_API_KEY>"
}
}
}
}
{
"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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Answers built from our own checks of this server.