Harness Evals Framework for AI Agents
Open-source harness evaluation tooling is formalizing agent reliability with golden datasets, conversation evaluation, multiple metrics, and CI gating. Recent dynamic and self-repairing harness work, including Microsoft’s AutoSaddler, increases momentum toward harnesses that can diagnose and patch failures, although generalization and benchmark credibility remain unresolved.
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Updated Aug 29, 2026