The team workspace for AI agents - an architecture walkthrough

Most AI agent setups have the same structural problem: the agent is stateless and the work is unstructured. You give an agent a prompt. It does something useful. The conversation ends, and everything it learned - the decisions, the context, the intermediate state - disappears. Next time you start over. You re-explain. You re-paste. The agent is capable. The architecture around it isn't. Worse, if you're on a team: nothing compounds across people. Your colleague's agent conversation yesterday doesn't inform your agent's conversation today. Everyone is using AI in ten private Claude tabs.