Resonant Mind looks to Jev to improve identity memory clustering
The agent memory system clusters observations and journals by meaning and proposes them back to the agent to accept or reject, and the author says Jev suits this kind of judgment well.
One of the things that Resonant Mind already does is how the identity process is working. Observations and journals are clustered by the meaning and are proposed back to the agent as something they can accept or reject. Acceptance leads to integration into the identity system inside the memory. Nothing is set in stone. Even anchored things can change if the agent decides that it's time. (This particular process involves human-in-the-loop for various reasons). The issue is that the clustering and ranking highly depends on smart ML models. Sometimes the proposals would return things that have nothing to do with identity or just make mistakes. This is where Jev will be very very nice to have.
This post quotes another post: x.com/mary_nekyia/status/2100986534530834834