Best-of-Agent-Harnesses – Ranked list of 167 AI agent harnesses, rescored weekly (github.com)

A newly curated list, "Best-of-Agent-Harnesses," has been launched, ranking 167 AI agent harnesses and orchestration frameworks with weekly updates. This resource is designed for developers and researchers seeking reliable agent systems, presenting a searchable database that categorizes harnesses by capability, autonomy, and recovery. Each harness entry includes templates and playbooks for straightforward integration, emphasizing how a runtime environment can significantly impact AI models' performance. Notably, the study highlights that the choice of harness can lead to substantial changes in performance metrics, underscoring the importance of harness quality over model quality alone. The significance of this list lies in its reflection of a shift in the AI/ML community's focus towards optimizing the surrounding infrastructure that governs AI agents, as reiterated by numerous industry experts. The report also supports claims that a well-designed harness can improve pass rates on various benchmarks, indicating that investing in harness capabilities is essential for successful AI applications. By providing a systematic approach to harness evaluation and selection, this repository aims to aid practitioners in making informed decisions to enhance their agent systems' effectiveness, particularly as they navigate increasing model complexities and failure modes.