Your agents share one archive, on your Mac

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Hey, this is my first launch, and the first product I've ever released to the public, so I'm quite excited :D

A new model lands every couple of weeks, and I want to try them. One is better at the task, another costs less, some run locally. To move, my decisions, preferences, corrections and dead ends have to follow me, or they stay with one provider.

Morning in Claude Code, afternoon in Codex or Cursor, and the second tool has no idea what the first one settled. Sometimes the good explanation is in a ChatGPT chat from March. Rule files only hold what I remember to write down.

is a Mac app. Conversations stay on the machine, and any agent that can start a local MCP server can search them. I connect Claude Code, Codex and Grok.

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A markdown wiki, the Karpathy kind, is already a good fix. Then the folder grows, the agent takes longer to look, and it misses the right passage. I tried RAG setups too. I built this over about 9 months, with my own agents, and about 20 people who tried it before today. I still use it on my own work every day.

The call I use returns a short pack (about 6 KB) with the decision, the passage, and the session it came from. The agent gets those passages instead of rereading a whole every session.


You can ask "hadn't we decided to stop the webinars?" and it can find the chat from 3 months ago about cutting the online events that don't convert. The words don't have to match.

The archive is a folder on the Mac. There's no account, and I don't get a copy of the chats. Search by words sends nothing anywhere. Search by meaning stays off until you turn it on. Then the text goes to Voyage, and I pay for that key, which is why the first 7 days are on me. After that it's €5 a month during the launch. One license, every Mac, every agent you connect. You can cancel whenever :)

If you stop, the archive stays and keyword search stays, and capture and search by meaning pause.


Mac only for this launch. Apple silicon, macOS 14 or later.

If you jump between 2 agents (and more) on the same project, that's the case I built for.


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