80% done on an explorer for the tiered memory system in Solum, my Elixir-based @openclaw killer™️ The context is just a frame. I've been running this system for a couple of days. It is no longer stuck in the user->agent message loop, and through context engineering, it treats context as a frame, with inference producing actions. An action can be: message another agent or the human, or use tools. And what triggers inference is sensory data: subscriptions to state changes outside of itself, or email/chat notifications. It no longer feels like before. It's what I thought OpenClaw would be, truly autonomous. But autonomy needs a primer. It needs a context that removes this pure assistant, user-to-agent comms. Also, async tool-calling is the way, once you see that you can't go back. I'm wondering what sort of beast people at @AnthropicAI or @OpenAI are running, because what I've seen my setup do has really impressed me. Follow this space, will open-source in a few days at this rate.