Comment by SachitRafa

Hi Builder here, biological is here doing the rhetorical work. The actual mechanism here is exponential decay with category specific half lives, recall based reinforcement and pruning context which falls below threshold.

The main difference between a cache and this framework is that it prunes data not only based on recency but also based on importance and category failures fades fast, strategies persists longer, facts stays longer and assumptions fades faster so on.

The 84% is against storing everything forever. The parameter where it beats RAG is handling contradictions and maintaining the memory size near constant with active pruning of data.

Have also benchmarked it against LongMemEval-S dataset the results are in the repo