AnchorDB runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 15 Aug 2026.
Persistent code memory for AI agents: notes pinned to files and symbols that survive refactors.
What the code does
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.
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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 AnchorDB
same job, measured the same wayPersistent engineering memory for AI coding agents. Survives refactors, knows when it is stale.
Persistent memory for AI agents, for code, research and everyday life. Stale facts retire.
Narrow code retrieval for agents: outlines, symbol context, dep graph, persistent memory.
Persistent memory for AI agents: one brain shared across Claude, Cursor, Codex and more.
Code-pinned team memory for AI coding agents — typed artifacts, MCP-native, self-host.
Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.
Persistent knowledge memory for AI agents. Hybrid search, code graph, pgvector.
Persistent memory for AI coding agents — past bugs, decisions, and your corrections, in your repo.
AnchorDB — questions
Answers built from our own checks of this server.