Keymem runs on your own machine — the client starts it, so there is no endpoint to ping. 385 installs a week from npm. Last commit 17 Sep 2026.
Associative key-graph memory for LLM agents — recall by association, not vector similarity.
We read the source, 21 h ago · rules 3dff92dd89df
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.
const child = spawn(process.execPath, [daemonPath], {
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 keymem -- npx -y keymem
{
"mcpServers": {
"keymem": {
"args": [
"-y",
"keymem"
],
"command": "npx"
}
}
}
[mcp_servers.keymem]
command = "npx"
args = ["-y", "keymem"]
{
"mcpServers": {
"keymem": {
"args": [
"-y",
"keymem"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"keymem": {
"args": [
"-y",
"keymem"
],
"command": "npx"
}
}
}
Graph + vector memory for agents: recall, ingest, search, distill. Local or remote backend.
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Offline agentic memory: remember/recall/relate/forget/why over a fused vector+graph+columnar engine
Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.
Answers built from our own checks of this server.