Your AI Forgot Everything You Told It Yesterday. Mine Didn't

Every MCP memory server I've seen is a JSON file with a save button. That's not memory. That's a notepad. The "persistent memory for AI" space is filling up with CRUD wrappers — store a string, retrieve a string, list all strings. Some add vector search. A few throw in Qdrant or Redis. Every one of them solves the wrong problem. The problem isn't storage. The problem is that your AI doesn't know what to forget. The Actual Pain If you're using Claude Code, Cursor, Codex, or any MCP-compatible agent, you've felt this. You spend an hour debugging a Docker networking issue — localhost resolves to IPv6 but Docker only binds IPv4. You fix it. The session ends. Next session, the agent rediscovers the same issue from scratch. The standard solutions don't help. Static project files bloat and go stale. Key-value stores remember everything equally — that Docker fix and what you ate for lunch have the same priority. Vector-only retrieval is better, but it can't tell you that a decision from Januar