Harness

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Exploring the architecture and application of state-externalizing harnesses in AI agent development.

Harness-1: Reinforcement Learning for Search Agents

Harness-1 introduces a novel approach to reinforcement learning for search agents through state-externalizing harnesses. This project, detailed in arXiv:2606.02373, provides a framework for advanced AI agent development.

A novel runtime harness approach improves frozen LLM agents by converting interaction failures into reusable interventions, outperforming model-centric training.

Life-Harness: Adapting the Interface for Deterministic LLM Agents

Introducing Life-Harness, a lifecycle-aware runtime harness that significantly improves frozen LLM agents without modifying model weights. By adapting the interface to convert recurring interaction failures into reusable interventions across various categories, Life-Harness achieved an average 88.5% relative improvement across 116 out of 126 model-environment settings on seven deterministic benchmarks.