Memory OS AI runs on your own machine — the client starts it, so there is no endpoint to ping. 625 installs a week from pypi. Last commit 3 Mar 2026.
Adaptive memory for AI agents — FAISS search, chat extraction, cross-project linking
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.
setup.py: выполняет код при установке пакета
этот файл ставится пользователю, но в репозитории его нет
embeddings = pickle.load(f)
subprocess.run(["xdg-open", chemin_fichier], check=True)
chemin_fichier = os.path.join(DOSSIER_FICHIERS, self.selected_file)
for root, _, files in os.walk(search_dir):
env = dict(os.environ, MEMORY_V4_DIR=str(root), MEMORY_V4_PROJECT="*", MEMORY_V4_TOKEN_FILE=str(settings.token_file))
ENV TOKENIZERS_PARALLELISM=false
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 memory-os-ai -- uvx memory-os-ai
{
"mcpServers": {
"memory-os-ai": {
"command": "uvx",
"args": [
"memory-os-ai"
]
}
}
}
[mcp_servers.memory-os-ai]
command = "uvx"
args = ["memory-os-ai"]
{
"mcpServers": {
"memory-os-ai": {
"command": "uvx",
"args": [
"memory-os-ai"
]
}
}
}
{
"servers": {
"memory-os-ai": {
"type": "stdio",
"command": "uvx",
"args": [
"memory-os-ai"
]
}
}
}
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Open-source MCP server for AI agents: web search, content extraction, and library docs.
Answers built from our own checks of this server.