A new research paper proposes a layered architecture to decouple inference, orchestration, and execution in autonomous systems. It utilizes Ollama for the inference layer and OpenClaw for execution. This structural split aims to solve persistence gaps in goal-driven agents. Practitioners can use this model to build more scalable, full-stack agentic workflows.