elvis@omarsar0 · X当前多数智能体脚手架（scaffold）构建后保持静态。新研究Self-Harness将harness（提示词、工具、控制流）作为可学习的工件，通过自身运行迭代改进，而非手动维护的固定包装器。运行长周期智能体时，自我修改的harness将维护工作转化为系统自动获得的能力。论文：arxiv.org/abs/2606.09498。
// Self-Harness： Harnesses That Improve Themselves //
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Most of the agent scaffolds we rely on today are built once and remain frozen or mostly unchanged.
The harness， like the skills， needs to evolve with new models.
What if the scaffold rewrites itself？
This new work treats the harness， the prompts， tools， and control flow around the model as a learnable artifact that improves from its own runs rather than staying a fixed wrapper you hand-maintain.
The scaffolding becomes the part that compounds， run after run. If you run long-horizon agents， a self-modifying harness turns scaffold upkeep from manual work into something the system earns on its own.
Paper： https：//arxiv.org/abs/2606.09498
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