What is an agent harness?

An agent harness is a pre-configured architecture designed to enable large language models (LLMs) to autonomously perform tasks by integrating multiple components such as an outer iteration loop, context management, skill and tool management, subagent handling, and a permission and safety layer. Unlike frameworks such as LangChain, which require human configuration, a harness operates out-of-the-box with fixed elements like a tool registry and context compression, allowing it to manage its own tasks, permissions, and subagents. This architecture allows LLMs to act autonomously by assembling tools, managing tasks, and adapting based on feedback, thereby transforming them from simple text generators into robust problem-solving agents. The harness's ability to manage lifecycle hooks and session persistence further elevates its capability, making it a critical development in AI engineering systems that addresses complex technical challenges in real-world applications.

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