OpenClaw and Ollama Propose Comprehensive Framework for Autonomous AI Agents

A new paper introduces OpenClaw and Ollama, aiming to bridge critical gaps in the architecture of fully autonomous AI agents by separating inference, orchestration, and execution layers.

The framework focuses on creating persistent, action-capable AI systems.

It emphasizes a layered architecture to improve scalability and autonomy.

The research highlights the need for unified evaluation and design frameworks for agentic AI.

Source: https://arxiv.org/abs/2607.28629