SurStor Memory runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 30 Oct 2026.
Local memory for AI models: store, retrieve and verify records on your own hardware.
We read the source, 1 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.
subprocess.run(["gh", "release", "download", tag, "--repo", "SurStor/SurStor_Memory",
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-first AI memory MCP server. Record, recall and consolidate memory on your own machine.
Find open-weight AI models that fit your hardware, with weight sizes, memory and sources.
Local-first long-term memory for AI coding agents. Stored on your own machine.
Local-first AI memory over MCP. No account; you own the store.
Local long-term memory shared by all your AI agents, kept word for word on your own PC.
Local long-term memory shared by all your AI agents, kept word for word on your own PC.
One private, local memory your AI tools share. Cross-model, on-device, never lose a session.
One memory for every AI: Claude, ChatGPT and more share a memory that lives on your computer.
Answers built from our own checks of this server.