Unverified50% confidenceEventExact time
In the demo, the system launches multiple agents in parallel to handle different subtasks and waits for all of them to complete before generating the next step of work.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/1/2026
First Seen
Valid until: 12/30/2026
Sources
Related Entities
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78% similarUnverifiedAutomated workflows should implement timeouts, retries, task queues, and fallback models to ensure fault tolerance.78% similarUnverifiedThe 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.77% 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.76% similarUnverifiedAn always-on agent continuously runs in the background, tracks tasks, and executes multi-step operations.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/965933API
curl https://kongchang.com/api/v1/knowledge/claims/965933MCP
get_claim(id=965933)