SALSA Filtering for Agent Memory

A novel multi-dimensional filtering approach (Salience, Longevity, Specificity, Agency) for personalized conversational AI memory, combined with hybrid retrieval using dense, sparse, and temporal weighting. Directly addresses memory quality evaluation and retrieval in production agent systems.