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RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

148 upvotes · 21 SEP 2026 · Peng Xia, Rujun Han, Zifeng Wang et al.

This paper introduces RRSI, a method to improve the performance of large language model (LLM) agents by iteratively editing their harness, which includes prompts and control flow, to achieve better performance on various tasks. Practitioners may care about this paper because it presents a way to regularize the self-improvement process of LLM agents to avoid overfitting.

continual learningagent harnessrecursive self-improvementregularizationbenchmark-specificevolution history