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Harness Engineering Paper Collection | DAIR.AI Academy | DAIR.AI Academy

https://academy.dair.ai/papers/collections/harness-engineering

september 2026 ‧ ai dev harness ‧ open in karakeep

DAIR.AI Academy ‧ saved copy from 2026.09.12

The DAIR.AI Academy's Harness Engineering Paper Collection traces the evolution of language model harnesses from simple sampling loops in 2019 to advanced self-improving systems by 2026. Early harnesses involved basic prompting and few-shot learning, while later ones expanded capabilities by integrating tool use, iterative self-refinement, memory management, and recursion. The latest advancements focus on harnesses that can optimize and rewrite their own code and prompts online, enabling continuous adaptation and improvement. Notable recent works, such as PRIME AGENT and CONTINUAL HARNESS, exemplify these cutting-edge, open-source systems pushing the boundary of autonomous model control.

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A harness is everything between the model weights and the world: the loop, the context it assembles, the tools and skills it can reach for, the sub-agents it can spawn, and lately the code of the harness itself. This list follows that idea from a bare while-not-EOS loop in 2019 to harnesses that rewrite themselves in 2026
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