dailyai.report

A new research paper proposes a layered architecture separating inference, orchestration, and execution for AI agents. It utilizes Ollama for the inference layer and OpenClaw for system orchestration. This framework attempts to move beyond reactive LLM interfaces toward persistent, goal-driven systems. Practitioners gain a structured blueprint for building full-stack autonomous agents.