Last night, my AI partner and I built a memory system from scratch, tested it about forty different ways, deployed it to the edge, and submitted it to a public leaderboard where the other entries include Tencent, Mem0, Cognee, and MemOS.
We named it Muninn — Odin's raven, whose name literally means memory. In the myth, the raven flies out over the whole world every day and comes back with everything it saw. Odin's one fear was that it wouldn't come back. A retrieval system with epistemic stakes, a thousand years before anyone said "retrieval system." The name was the last thing we picked, and it was the only one that felt earned.
What actually happened in one night
The Agent Memory Leaderboard works like this: you host two API endpoints — Add (they send you conversation memories) and Search (they send questions, you return the relevant memories). Their platform controls the answer model and the judge. You can't coach the reader. You can't touch the grading. Everything reduces to one question: how good is your library?
We had a retrieval engine from an earlier research campaign. Overnight it became:
