What is an agent harness?

An agent harness is a crucial component that wraps around an AI model to enable practical functionality by incorporating tools, memory retention, context management, sandboxed execution, and guardrails, distinguishing it from the model itself which primarily handles reasoning and response generation. The concept gained prominence with the release of AutoGPT in 2023, highlighting the importance of the harness in making models like GPT-4 useful for real-world tasks. Switching between different agent harnesses can result in the loss of operational investments such as governance, app connections, and context, as these elements are typically tied to the specific harness used. However, Zapier offers a solution by maintaining app connections, context, and governance outside of any single AI tool, ensuring continuity and compliance regardless of which agent harness is in use, thereby mitigating the disruptions typically associated with frequent harness changes.