Multi-Agent Team
The Multi-Agent Team block coordinates multiple specialized agents to work together on complex tasks, enabling division of labor and expert-level performance across different domains.
Overview
Multi-Agent Team orchestrates collaboration between specialized agents, each with specific roles, expertise, and tools. This approach mirrors human team dynamics, where different specialists contribute their unique skills to achieve shared objectives.
Team Assembly: Configure specialized agents with distinct roles and capabilities
Task Distribution: Automatically assign subtasks based on agent expertise and availability
Collaboration Management: Coordinate information sharing and handoffs between agents
Result Integration: Combine individual agent outputs into cohesive final deliverables
How It Works
graph TB
A[Complex Task] --> B[Task Coordinator]
B --> C[Research Agent]
B --> D[Writing Agent]
B --> E[Review Agent]
C --> F[Information Gathering]
D --> G[Content Creation]
E --> H[Quality Assurance]
F --> I[Team Integration]
G --> I
H --> I
I --> J[Final Output]Configuration
Team Composition
Define the agents and their specialized roles:
- Research Agent: Information gathering and analysis
- Writing Agent: Content creation and communication
- Technical Agent: Code generation and technical tasks
- Review Agent: Quality assurance and error checking
Coordination Strategy
How agents collaborate and share information:
- Sequential: Agents work in predefined order with handoffs
- Parallel: Multiple agents work simultaneously on different aspects
- Dynamic: Task coordinator assigns work based on current needs
Communication Protocol
How agents share information and coordinate:
- Shared Memory: Common knowledge base accessible to all agents
- Message Passing: Direct communication between specific agents
- Central Coordinator: All communication flows through a management agent
Success Criteria
Conditions that determine when the team task is complete and ready for final integration.
Use Cases
- Content Production: Research team gathers information, writing team creates content, review team ensures quality
- Software Development: Planning agent designs architecture, coding agents implement features, testing agent validates
- Business Analysis: Data agent gathers metrics, analysis agent identifies trends, strategy agent recommends actions
Example Workflow
[Business Question] → [Agent Team] → [Research + Analysis + Strategy] → [Executive Summary]A market analysis request gets distributed:
Research Agent:
- Gathers industry data and competitor information
- Identifies market trends and consumer behavior patterns
Analysis Agent:
- Processes the research data for insights
- Performs statistical analysis and forecasting
Strategy Agent:
- Synthesizes findings into actionable recommendations
- Considers business constraints and opportunities
Integration:
- Coordinator combines all outputs into comprehensive market analysis report
- Ensures consistency and completeness across all sections
Best Practice: Design agents with clear specializations and minimal overlap. Use shared memory for coordination and define explicit handoff protocols between agents.
When to Use This vs Other Blocks
| Block | When to Use |
|---|---|
| Multi-Agent Team | Complex tasks requiring multiple specialized skills and perspectives |
| Agent | Simple single-purpose tasks that don't require specialization |
| Dynamic Workflow | Adaptive workflows where the process changes based on inputs |