Large Language Models (LLMs) are incredibly good at understanding language, reasoning through problems, and generating responses. However, on their own, they cannot execute code, call APIs, access files, remember previous work, or complete multi-step workflows.
To move beyond answering prompts and actually perform tasks, an LLM needs an AI Agent Harness.
An AI Agent Harness is the software infrastructure that surrounds a Large Language Model (LLM) and enables it to interact with the outside world. It connects the model to tools, memory, execution environments, and safety controls, allowing the model's decisions to be translated into meaningful actions.
Simply put:
AI Agent = Model + Harness
