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JIT-Agent adapts agent harnesses to tasks
An article published August 27, 2026 describes JIT-Agent, which synthesizes agent harnesses on demand and can repair and evolve them.
Published on August 27, 2026, the article describes JIT-Agent, a system that synthesizes harnesses on demand for off-the-shelf agentic language models. Harnesses support how agents operate. The protocol has four modules: memory, planning, action protocols, and tool orchestration.
The work explores automating harness design and adaptation, including components engineers often create and maintain manually. The summary also says the system can repair and evolve harnesses. To check the scope and findings, consult the original article and verify its methods and evidence there; the available record does not specify evaluations or metrics. If you use AI to study or apply the material, avoid sending identifiable organizational data without authorization.
Original source: JIT-Agent gera harnesses de agentes adaptados à tarefa