HarnessX：一种可组合、自适应且可进化的智能体运行时框架铸造厂
英文摘要
HarnessX is a platform that enables composable, adaptive, and evolvable agent runtime harnesses. It introduces compositional primitives and AEGIS, a trace-driven evolution engine that iteratively refines harness design using execution feedback. Traditional static, hand-crafted harnesses are replaced with a substitution algebra for dynamic adaptation. Evaluated across multiple benchmarks, HarnessX achieved an average performance improvement of +14.5% over conventional harnesses, highlighting the impact of runtime interface evolution alongside model scaling. The full codebase will be released in the future.
中文摘要
HarnessX 是一个实现可组合、自适应、可进化的智能体运行时框架的平台。它引入了组合原语和 AEGIS（一种基于执行反馈的轨迹驱动进化引擎）以迭代优化框架设计。该平台通过代换代数取代了传统静态、手工编写的框架，实现动态适配。在多个基准测试中，HarnessX 相比传统框架平均性能提升了 +14.5%，证明在模型规模之外，运行时接口的进化同样关键。完整代码库将于未来发布。
关键要点
HarnessX provides a platform for building adaptive agent harnesses using composable primitives and a trace-driven evolution engine (AEGIS).
HarnessX 通过组合原语和轨迹驱动进化引擎（AEGIS）提供构建自适应智能体框架的平台。
It replaces static, hand-crafted harnesses with a substitution algebra that dynamically adapts the runtime interface.
它用代换代数取代静态手工框架，动态调整运行时接口。
Execution feedback loops drive iterative harness improvement, aligning design with task performance.
执行反馈循环驱动框架迭代改进，使设计与任务性能对齐。
Across diverse benchmarks, HarnessX achieved an average gain of +14.5% over traditional harness methods.
在多个基准上，HarnessX 相比传统框架方法平均提升了 +14.5%。
The codebase is planned for future release, enabling broader research and adoption.
代码库计划在未来发布，以促进更广泛的研究和应用。