A new research paper proposes a layered architecture to decouple inference, orchestration, and execution in autonomous systems. The authors analyze OpenClaw and Ollama to demonstrate how persistent, goal-driven agents manage memory and planning. This structural separation helps developers build more scalable agentic workflows. It addresses the current gap in full-stack agent evaluation.