Unverified50% confidenceFactExact time
The Harness² method emphasizes iteratively improving the execution scaffold itself (including tool calls, context organization, and workflow structure), extending the object of improvement from model weights or prompts to the entire runtime environment.
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50%
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Long-term
Relevance
10/31/2026
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Unverified技能库采用懒加载设计，Agent Harness 只需解析 Front Matter 即可判断是否激活某个技能，从而规模化扩展而不显著增加 token 消耗79% similarUnverifiedThe Harness layered structure improves the decomposability and maintainability of tasks, but it also makes the runtime process harder to observe: a single user request triggers multiple model calls and tool calls, and context flow across agents is hidden inside the code.77% similarUnverifiedThe core idea of Self-Evolving Agent Harness is not to have human engineers manually adjust the Harness's prompts, toolset, and scheduling strategy, but to let the Harness automatically optimize these components based on data from its own operating history.76% similarUnverifiedAfter a Harness2 task is completed, the improved Harness and the related experience are saved, so that subsequent edits start from a higher baseline.76% similarUnverifiedHarness implementations vary greatly across different frameworks: some adopt the ReAct (Reasoning + Acting) paradigm, some use a Plan-and-Execute structure, and some allow parallel tool calls.75% similar
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