The article examines the progression of agentic harnesses—frameworks used to control and direct AI agents—tracking their development from simple chain-based approaches to more sophisticated graph-based and code-based systems. This evolution reflects the increasing complexity of AI agent orchestration and the growing need for more flexible, scalable methods to manage agent behavior and interactions.