dailyai.report

A new research paper proposes a layered architecture for autonomous agents using Ollama for inference and OpenClaw for orchestration. This framework separates execution from planning to move beyond reactive LLM interfaces. It provides a blueprint for persistent, goal-driven systems. Practitioners can now better evaluate the gap between simple chat and autonomous execution.