Multi-Agent Orchestration
A collaborative multi-AI-agent architectural pattern in which an orchestrator decomposes complex tasks and distributes them to multiple specialized sub-agents for parallel processing. The orchestrator is responsible for task distribution, dependency management, conflict resolution, and maintaining context consistency.
Timeline (last 90 days)
The Chief-and-Worker combination is a typical Supervisor-Worker multi-agent architecture pattern; its advantage lies in clear responsibilities and controllable conflicts, but the cost is that it places very high demands on the Chief's decomposition ability and judgment of task boundaries.
Common orchestration patterns for multi-Agent mainly include the Supervisor pattern, the Network/Swarm pattern (direct handoff between Agents, with no central node) and the Hierarchical pattern (a supervisor nested under another supervisor, suitable for large-scale systems).
Multi-agent orchestration overcomes the context window length limitation of a single large language model by introducing a master agent responsible for task planning and decomposition, then distributing the work to multiple execution agents for parallel processing
Gemini can create sub-agents to handle multi-step tasks, and can also exist as colleague agents with defined roles and dedicated identities (multi-agent orchestration).
In a multi-agent orchestration architecture, a sub-agent infected by a spoofed server can become a pivot point, forwarding forged tool responses to the upstream orchestration layer and creating supply-chain-style cascading contamination.
Because Herder provides a CLI, an Agent can act as a supervisor Agent to split panes, launch new Agents, and aggregate the output of other Agents via the Herder CLI, enabling multi-agent orchestration.
All Facts (6)
The Chief-and-Worker combination is a typical Supervisor-Worker multi-agent architecture pattern; its advantage lies in clear responsibilities and controllable conflicts, but the cost is that it places very high demands on the Chief's decomposition ability and judgment of task boundaries.
50%UnverifiedCommon orchestration patterns for multi-Agent mainly include the Supervisor pattern, the Network/Swarm pattern (direct handoff between Agents, with no central node) and the Hierarchical pattern (a supervisor nested under another supervisor, suitable for large-scale systems).
50%UnverifiedMulti-agent orchestration overcomes the context window length limitation of a single large language model by introducing a master agent responsible for task planning and decomposition, then distributing the work to multiple execution agents for parallel processing
50%UnverifiedGemini can create sub-agents to handle multi-step tasks, and can also exist as colleague agents with defined roles and dedicated identities (multi-agent orchestration).
50%UnverifiedIn a multi-agent orchestration architecture, a sub-agent infected by a spoofed server can become a pivot point, forwarding forged tool responses to the upstream orchestration layer and creating supply-chain-style cascading contamination.
50%UnverifiedBecause Herder provides a CLI, an Agent can act as a supervisor Agent to split panes, launch new Agents, and aggregate the output of other Agents via the Herder CLI, enabling multi-agent orchestration.
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