Multi-Agent Architectures¶
Each multi-agent architecture type is designed for specific use cases and can be combined to create powerful multi-agent systems. Below is an overview of each available swarm type:
| Swarm Type | Description | Learn More |
|---|---|---|
| AgentRearrange | Dynamically reorganizes agents to optimize task performance and efficiency. Useful when agent effectiveness depends on their sequence or arrangement. | Learn More |
| MixtureOfAgents | Builds diverse teams of specialized agents, each contributing unique skills to solve complex problems. Excels at tasks requiring multiple types of expertise. | Learn More |
| SequentialWorkflow | Executes tasks in a strict, predefined order. Perfect for workflows where each step depends on the completion of the previous one. | Learn More |
| ConcurrentWorkflow | Runs independent tasks in parallel, significantly reducing processing time for complex operations. Ideal for tasks that can be processed simultaneously. | Learn More |
| GroupChat | Enables dynamic collaboration between agents through a chat-based interface, facilitating real-time information sharing and decision-making. | Learn More |
| HierarchicalSwarm | Implements a structured, multi-level approach to task management, with clear lines of authority and delegation. | Learn More |
| MultiAgentRouter | Acts as an intelligent task dispatcher, distributing work across agents based on their capabilities and current workload. | Learn More |
| MajorityVoting | Implements robust decision-making through consensus, ideal for tasks requiring collective intelligence or verification. | Learn More |
Learn More¶
To explore Swarms architecture and how different swarm types work together, check out our comprehensive guides: