Unverified50% confidenceSolutionExact time
Common mitigations for runaway recursion include: setting a maximum depth and a maximum total call budget, requiring subtasks to be more specific than the parent task, and introducing an independent validator at each layer to determine whether a deliverable result is already available.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Google Research Introduces Harness2: A Recursive Agent Framework Draws Attention
hackernewshackernews10/19/2026
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Related Claims
UnverifiedThere is a trade-off in step limits: setting them too low will forcibly interrupt complex tasks, while setting them too high wastes compute and amplifies error accumulation; in practice, a global step cap is often combined with local caps for subtasks, and when the limit is exceeded, a fallback is triggered or the task is handed over to a human.77% similarUnverifiedSetting Maximum Iteration too high may waste cost (tokens), while setting it too low may truncate the task before completion; it is a key parameter that requires trade-offs in Agent tuning.76% similarUnverifiedEven with task-aware checkpointing, if a workflow has a large number of decision points, storage can still balloon, requiring retention policies and compression methods.76% similarUnverified对于任务边界清晰、输出空间受限的问题，将其建模为约束分类可获得更好的可控性、可解释性和资源效率74% similar
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