Kairn runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 26 Aug 2026.
Local-first knowledge engine for AI agents: memory, graph, and recall over MCP.
We read the source, 12 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.
result = subprocess.run(
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.
Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall
Local knowledge graph memory MCP server for AI assistants.
Persistent memory for AI agents. Remember, recall, and explore a shared knowledge graph.
Local-first memory for AI agents: ground truths, failure firewall, negotiated recall over MCP.
Local-first, persistent memory for AI coding agents — remember, recall, forget, and list, over MCP.
Open, local-first engram memory for AI agents: read, correct, delete; shared over MCP.
Local-first memory engine for AI-agent teams: team/project ACL, recall, and federated sync.
Cognitive memory for AI agents — semantic recall, knowledge graph, and contradiction detection
Answers built from our own checks of this server.