Skip to main contentMulti-agent systems enable specialized agents to work together on complex tasks. Each agent focuses on a specific domain and coordinates through orchestration patterns.
Multi-Agent System Design Patterns
There are many ways to design multi‑agent systems, but we commonly see two broadly applicable patterns:
- Manager (agents as tools): A central manager/orchestrator invokes specialized sub‑agents as tools and retains control of the conversation.
- Handoffs: Peer agents hand off control to a specialized agent that takes over the conversation. This is decentralized.
This guide focuses on the Manager pattern (agents as tools), which is the most common and straightforward approach.
Installation
TODO: Framework-specific installation instructions coming soon.
In the Manager pattern, a central orchestrator invokes specialized agents as tools. The orchestrator retains control throughout the conversation and decides when to call each specialized agent.
Creating Specialized Agents
Each specialized agent focuses on a specific task:
TODO: Framework-specific example coming soon.
Creating the Orchestrator
The orchestrator coordinates the workflow by delegating to specialized agents. It wraps specialized agents as tools:
TODO: Framework-specific example coming soon.
Best Practices
- Clear Boundaries: Each agent should have a specific, focused responsibility
- Efficient Communication: Minimize overhead between agents using appropriate patterns
- Structured State: Use typed state classes when agents need to share data
TODO: Framework-specific best practices coming soon.
Next Steps
