Rethinking AI Memory: From Passive Storage to Load-Bearing Infrastructure

Shifting AI memory from a 'storage' model to an 'infrastructure' model is essential for agents to grasp causal weight rather than mere semantic similarity. Addressing the 'Sequencing Problem'—where causality only appears in retrospect—enables agents to connect past failures with future resolutions effectively.