Evolving Memory Systems: An Eval-First Approach

AI memory systems are often designed as architectural bets: vector stores, profiles, summaries, graphs, etc. This post argues for a different starting point: build longitudinal eval environments where systems without good memory cannot survive, then let better memory strategies emerge under pressure from repeated interactions.