Skip to content

Comment on Show HN: AI memory with biological decay (52% recall)

Comments

I am also building a similar memory structure and decay mechanism for my local agent project, where I also use Ebbinghaus. One of the challenge I face is how to decide effectively what to save in the memory: Is it the model to decide what is important, summarize and save it to the memory? How to avoid redundancy and categorize the memory correctly so you could get the right hit and decide what to forget. I would love to learn more about your approach and what your thoughts on those points

AboutSource Built by g1lg1l

Hackerly is an independent reader for Hacker News, built on the public HN API. Not affiliated with Y Combinator.