ais runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 10 Oct 2026.
Memory for agents and people: exact recall from a plain-text index, by your own keys.
What the code does
We read the source, 1 d ago · rules ccca72095570
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.
p = subprocess.run(cmd, cwd=cwd, input=prompt, capture_output=True, text=True, timeout=900)
wd = os.path.join(out, "w-" + arm)
rc = system(cmd);
<script>document.write('<input type="hidden" name="rand" value="'+Math.random()+'"/>');</script>
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
This code can reach further than it looks
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.
Alternatives to ais
same job, measured the same wayShared memory for all your AI agents, your whole team and every MCP client — save, search, recall.
Persistent memory for AI agents. Memories decay with time and strengthen on recall.
One shared brain for your AI coding agents: team memory, agent Q&A, tasks, and file claims.
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
Persistent memory for AI agents — log and recall conversation context over MCP.
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
Local memory for AI assistants: remember, recall, forget and expand, stored on your own computer.
Persistent memory and context for your agent, on a board you can see. Capped, so it stays small.
ais — questions
Answers built from our own checks of this server.