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agent harnesses

topic2 events
papersTODAY 04:00 UTC

arXiv paper proposes ModularRSI for generalizable agent harness self-improvement

A new arXiv preprint introduces ModularRSI, a method aimed at making recursive self-improvement of agent harnesses both modular and generalizable. Prior work has shown agents can refine their execution mechanisms through experience on long-horizon coding and terminal tasks, but transferring those gains across settings remains difficult. The paper frames generalization as the main open obstacle for harness-level self-improvement.

agents/research/self-improvement/arxiv
papersSEP 10 04:00 UTC

RobustSGPO adds search-space control to semantic-gradient prompt optimization for agent harnesses

A new arXiv preprint presents RobustSGPO, an extension of semantic-gradient prompt optimization for evolving agent harnesses with execution feedback. The method addresses an unresolved part of SGPO's local update rule—deciding which portion of the prompt to edit and what kind of change to make—by constraining the search space of candidate edits. According to the authors, specifying the requested edit at each step makes automated harness improvement more controlled.

agents/prompt-optimization/research/arxiv