AI RESEARCH
HarnessForge: Joint Harness and Policy Evolution for Adaptive Agent Systems
arXiv CS.CL
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ArXi:2606.01779v1 Announce Type: new LLM agents are increasingly expected to operate across heterogeneous task regimes that require distinct execution paradigms. This challenges fixed agent systems and motivates system-level meta-adaptation beyond isolated component updates. While existing works have adapted external harness or trained underlying reasoning policies, full-system adaptation remains insufficiently characterized.