AI Memory Needs Management, Not Just Storage

AI products store conversation context but lack memory management policies like garbage collection, cache eviction, and namespacing. The author proposes five principles: scoped memory, relevance decay, provenance, compaction, and utility-based retention. Temporal reasoning is foundational, as systems must understand time to manage memory effectively.