The problem
The industry built workarounds for stateless AI. Retrieval-augmented generation, flat memory lists, rolling compaction. They help. But they don't solve the core problem: AI still doesn't actually learn from your interactions.
The insight
Early computers tried to make the CPU do everything. The breakthrough was separation of concerns. Processor, memory, storage, OS. AI is at that exact inflection point right now.
The solution
Context that's navigable, not disposable. Memory that compounds over time. Agents that serve you. Not the other way around.