memlens-9da11e30·1 events·first seen Aliases: MemLens
MemLens is a proposed memory management system for LLM-based agents that treats memory records as first-class data objects with explicit value scoring, contrasting with existing systems that handle all interaction records uniformly. The system uses Shapley-style evaluation to assess memory utility and provides an interactive analytics dashboard exposing the full memory lifecycle including storage, retrieval, and response generation. A study-copilot application demonstrates the system's ability to compare memory strategies across response quality, retrieval latency, and token consumption metrics.