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

Multi-Agent Team

On this page