Expired80% confidenceFactTime unknown
The framework adopts a swarm-style multi-agent collaboration mechanism, where the core agent acts as the queen bee, responsible for understanding user intent, decomposing tasks, and assigning them to expert agents for execution.
1
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 8/30/2026(expired)
Sources
多Agent调度框架：98个专家Agent组成的超级AI开发团队
bilibiliAI罐装知识
Related Entities
Related Claims
UnverifiedThe framework adopts a swarm-like hierarchical scheduling mechanism, with a core agent acting as the coordinator responsible for task decomposition and dispatch.84% similarUnverifiedIn multi-agent collaborative architectures, the controller agent is responsible for task planning and scheduling, while sub-agents serve as execution units with specific tool access permissions and behavioral constraints.79% similarVerifiedThe core architecture of multi-agent systems typically involves an Orchestrator agent responsible for task decomposition and scheduling, along with multiple Worker agents responsible for specific implementation.79% similarUnverifiedMulti-agent collaboration is typically implemented through an orchestrator-executor pattern, where a primary control Agent is responsible for task decomposition and scheduling.78% similarUnverifiedThere are two main paradigms for implementing Multi-Agent systems: centralized orchestration (a primary Agent schedules other Agents) and decentralized collaboration (Agents autonomously coordinate through message passing).75% similar
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