Learning from Research: Toward Lifelong Agent Harness Evolution
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. Recent methods automat...
Jing-Bo Yang, Kwei-Herng Lai, Xiao-Wen Wang et al.
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