Relevant But Forgotten

Your agent scores stored memories the way the Generative Agents memory stream does. Each of recency, importance and relevance is min-max normalized to $[0,1]$ across the candidate set, then summed with all weights equal to 1. Recency decays as $0.995^{h}$ where $h$ is hours since the memory was last retrieved. Importance is a 1-to-10 score the model assigned when the memory was written. Relevance is cosine similarity to the current query.

The user asks: "What should I feed Biscuit before the vet visit?"

Only three memories fit the budget. Which memory has the highest cosine similarity and still does not make the cut?