Verified65% confidenceSolutionExact time
The sub-agent pattern breaks complex tasks into multiple independent subtasks, where each sub-agent has an isolated context and returns results to the orchestrator upon completion.
3
Sources
65%
Confidence
Long-term
Relevance
7/20/2026
First Seen
Sources
Related Claims
Verified多智能体系统将复杂任务拆解为多个子任务,由不同AI智能体并行或串行处理再汇总结果,相较单一模型能缩短处理时间并提升可靠性82% similarVerifiedThe orchestration layer in a multi-agent system is responsible for task decomposition, scheduling order among agents, and the transfer and validation of intermediate results.82% similarUnverifiedThe intelligent agent system adopts a closed-loop architecture of perception–planning–execution, decomposing complex tasks into sub-task sequences through reasoning frameworks such as ReAct and Chain-of-Thought.82% similarUnverifiedIn multi-turn tool-calling agentic scenarios, system prompts occupying thousands of tokens compress the space available for intermediate reasoning steps and tool return results, and hitting the token limit causes task failure.79% similar
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