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EvoHarness-RL: Learning Runtime Harness Coordination for Self-Evolving Agents

Xuying Ning, Dongqi Fu, Tianxin Wei, Yuanchen Bei, Xiyuan Yang, Wujiang Xu · Aug 5, 2026

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 38% Moderate protocol signal Freshness: Warm Status: Fallback
Automatic Metrics Long Horizon General
  • Long-horizon LLM agents increasingly rely on external execution support to maintain state, track progress, recover from failures, and reuse experience across extended interactions.
  • Yet existing harnesses and their use are often tailored to environments and controlled through prompts, heuristics, or system-specific rules, making agent and harness coordination difficult to jointly optimize.
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