Why digital twins need memory as much as AI agents

Digital twins began as virtual counterparts to physical systems. In aerospace, manufacturing, and other high-stakes environments, they gave engineers a safe way to observe behaviour, test scenarios, and reduce risk before making real-world changes. That framing now feels incomplete.