AI Research
Self-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer
How recursive self-optimization is enabling AI agents to refine their own operational frameworks.
A harness is the code around a language-model agent that organizes prompts, calls tools, manages context, and controls execution. As models grow stronger, recent work has begun to let agents improve their own harnesses, a line of work known as self-evolving harnesses. In most exi...
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ArXiv CS.AI
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ArXiv CS.AI
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Allowing AI agents to optimize their own execution harnesses marks a shift toward truly autonomous and recursive system improvement. This architectural evolution reduces the need for constant human intervention in prompt engineering and tool integration, significantly scaling agent performance.
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