
As enterprise AI agents take on increasingly complex, long-horizon tasks, their performance is often restricted by their harness, the software scaffolding that connects the backbone LLM to its environment. Currently, harnesses are largely static and hand-crafted. Improving them is largely manual and they do not automatically improve based on the execution data they collect from their environment.To address this engineering bottleneck, researchers at Xiaomi introduced HarnessX, a framework that t
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