The Problem: Your AI Is a Goldfish Here's a scene that plays out in my terminal every single day: Me: "Hey AI, what's the architecture of this project?" AI: runs ls , runs find , runs grep , reads 15 files, spends 28,000 tokens AI: "Here's the architecture! It's Express with MongoDB!" Me: "Great, now implement the login route." AI: runs ls , runs find , reads the same 15 files again, spends another 25,000 tokens Me: quietly sobbing over my API bill If you've used any AI coding assistant (Cursor, Copilot, Claude Code, Devin, whatever), you've seen this. The LLM has the memory of a goldfish. Every new turn is like waking up in a strange room going "Who am I? Where am I? What project is this? Let me read everything again." It's not the LLM's fault . These models have context windows, not persistent memory. They can't close their eyes and remember that your project uses Express with MongoDB — they have to re-discover reality from scratch every time.…