MetaBrain – A local document memory for AI agents
Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy to pick up by agents. It allows humans to collaborate too by reading / searching / editing documents in the store. I have a Mac native GUI in the review process, I hope it will show up in the App Store soon. You can try it easily, instructions here:…
MetaBrain – A local document memory for AI agents launched on June 2, 2026 with 8 votes, #1,599 of 22,647 launches that month and more than 75% of that year's launches.
What it does
metaBrain is open-source local document memory for AI tools, coding agents, and humans, with searchable notes, metadata, tags, links, version history, and an optional local daemon.
Local document memory for AI tools, coding agents, and the humans who work with them. Give every agent one durable, searchable place for notes, source snippets, task context, metadata, tags, links, and version history. The quickest path is the `mb` CLI: initialize a local store, write a note, search it, and keep moving. The optional server is there later when several tools need concurrent access. Create a store, write a note, browse the tree, search it, and read the body back. That is enough to feel the shape of the tool. mb init mb put /notes/today "Remember the lexical store." --tag planning --meta source=agent mb list /notes --recursive --dates mb tree --max-depth 2 mb search "lexical…from metabrain.eu
In the maker’s words, at launch
Hello there HN I experimented with agentic coding recently and I felt the need to track more contextual data by project. Also I felt the need to be able to go beyond the 1D chat to communicate with agents. So I created a local document memory, that is discoverable by agents themselves. The CLI is designed to be easy…
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