dailyai.report

A new research paper proposes a layered architecture separating inference, orchestration, and execution to build autonomous agents. It utilizes Ollama for the inference layer and OpenClaw for execution. This framework moves beyond reactive LLM interfaces toward goal-driven systems with persistent memory. Developers can now better isolate orchestration logic from model inference.