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Learning from Research: Toward Lifelong Agent Harness Evolution

Jingbo Yang et al.
arXiv CS · Papers
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Language agents are expected to solve increasingly complex tasks, creating a growing need for continual improvement. One promising approach is to evolve the agent harness, the software that governs tool use, memory management, and task execution, while keeping the underlying language model fixed. Re
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