Agent Memory: An Anatomy
Summary
An analytic piece dissecting how AI agent memory is defined, decomposed into extractor, store, and retriever components, and how semantic, episodic, and procedural memory map to real systems. It argues that most libraries store autobiographical user data as semantic memory, warns against conflating memory with full cognitive memory, and discusses consolidation, forgetting, and offline reorganization as pathways to more robust memory.