AI BriefingThe Evolution of Agent Harnesses
Key point
As LLMs internalize harness capabilities, the remaining harness evolves into an interface for human attention rather than for the model.
Details
Around Christmas 2025, AI engineers witnessed agents starting to work effectively. This is analyzed as the result of models reaching a capability threshold and the maturity of harnesses (Wrappers) occurring simultaneously.
Agent Harness refers to all elements that enable agent operation, including environment, tools, context, and guardrails, excluding model weights. If early ChatGPT was in a 'brain in a vat' state, the harness grants the model a body, enabling perception, action, information persistence, and boundary setting in the actual digital space.
At the point where the improvement curves of models and harnesses intersected, agent performance improved dramatically. Subsequently, models began to absorb harness capabilities into their own weights, and engineers proceeded to remove the absorbed functions. Eventually, the role of the remaining harness is being redefined as an interface for managing human attention rather than for the model.
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