AI agents don't have a memory problem. They have an architecture problem.

Every session, the LLM starts fresh. The user re-explains their role, their constraints, their preferences, what they were doing last time. Then the session ends, and next time: same thing. The industry has diagnosed this correctly — statelessness is a real limitation. But the solutions being built mostly share the same premise: that memory is a service you connect to. I think that premise is wrong, and it shapes everything downstream. The actual cost of statelessness This isn't j...