Perfect Memory, Imperfect Systems: Why Vector Databases Need Intelligent Curation

Vector memory systems are silently degrading in production without triggering alarms, serving stale context that AI agents confidently present as current. A curation layer with importance scoring can transform 1,400 noisy memories into 60 high-signal entries, dramatically improving accuracy and relevance. This reveals why more data alone doesn't solve AI memory problems—intelligent filtering is the real bottleneck.