Experience Engine: AI Memory That Shrinks As Your Agent Learns

Every AI coding session, my agent made the same mistakes. DbContext as singleton — state corruption, 15 minutes debugging. Again. ILogger instead of IMLog — lost tenant context. Again. Wrong project reference path — build fails. Again. I had 500 memory notes. My agent was still a junior with a bigger notebook. So I built something different. The Problem With AI Memory Every AI memory tool — Mem0, Letta, Zep — stores facts . More sessions = more entries = more tokens = more cost. They're giving your agent a bigger notebook. But here's the thing: a notebook doesn't make you experienced. A junior developer with 500 notes is still a junior. A mid-level developer with 15 principles understands why things work. The difference isn't how much you remember — it's whether you can generalize . Junior (500 notes): "DbContext singleton caused bug" "HttpClient singleton caused leak" "SmtpClient singleton caused corruption" → Encounters RedisConnection singleton → NO MATCH → makes the mistake Mid-lev