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Beyond Skill Evolution: Self-Evolving Context Management Policies for Long-Horizon Agent Harnesses
Harness evolution improves LLM agents by learning from execution trajectories, but existing experience- and skill-based methods are less effective on long-horizon tasks. As interactions grow, useful evidence can be buried by redundant or outdated context, making context management itself a key bottl
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