Multi-Agent Systems

Create powerful systems where multiple agents work together to solve complex problems.

What are Multi-Agent Systems?

Multi-agent systems allow you to create teams of agents that:

• Collaborate on complex tasks
• Specialize in different domains
• Communicate and share information
• Coordinate actions autonomously

Creating a Multi-Agent System

Basic Setup

import { MultiAgentSystem } from '@zod/harness';

const system = new MultiAgentSystem({
  name: 'ResearchTeam',
  agents: [
    {
      name: 'Researcher',
      instructions: 'You research topics and gather information.',
      model: 'gpt-4'
    },
    {
      name: 'Analyst',
      instructions: 'You analyze data and draw conclusions.',
      model: 'gpt-4'
    },
    {
      name: 'Writer',
      instructions: 'You write clear reports based on analysis.',
      model: 'gpt-4'
    }
  ],
  communication: 'sequential' // or 'parallel', 'hierarchical'
});

system.start();

Communication Patterns

Sequential

Agents work one after another, passing results:

User → Researcher → Analyst → Writer → User

Parallel

All agents work simultaneously:

User → Researcher ─┐
User → Analyst ─────┤→ Coordinator → User
User → Writer ──────┘

Hierarchical

One agent coordinates others:

         Coordinator
        /     |     \
Researcher Analyst Writer

Agent Roles

Defining Roles

const system = new MultiAgentSystem({
  name: 'SupportTeam',
  agents: [
    {
      name: 'TriageAgent',
      role: 'coordinator',
      instructions: 'Route incoming requests to appropriate specialists.',
      model: 'gpt-4'
    },
    {
      name: 'TechnicalAgent',
      role: 'specialist',
      instructions: 'Handle technical support questions.',
      model: 'gpt-4'
    },
    {
      name: 'BillingAgent',
      role: 'specialist',
      instructions: 'Handle billing and account questions.',
      model: 'gpt-4'
    }
  ]
});

Best Practices

1. Clear role definitions - Each agent should have a specific purpose
2. Efficient communication - Choose the right pattern for your use case
3. Error handling - Handle failures gracefully
4. Monitoring - Track system performance
5. Testing - Test individual agents and the system as a whole

Use Cases

Customer Support

• Triage agent routes requests
• Specialized agents handle different issue types
• Escalation to human when needed

Research & Analysis

• Researcher gathers information
• Analyst identifies patterns
• Writer creates summary

Content Creation

• Idea generator brainstorms
• Writer creates content
• Editor reviews and refines

Advanced Configuration

Custom Communication Protocols

const system = new MultiAgentSystem({
  name: 'CustomSystem',
  agents: [...],
  communication: {
    type: 'custom',
    protocol: (messages, context) => {
      // Your custom logic
      return nextAgent;
    }
  }
});

Shared Memory

const system = new MultiAgentSystem({
  name: 'SharedMemorySystem',
  agents: [...],
  sharedMemory: {
    enabled: true,
    maxSize: 1000, // messages
    retention: '24h'
  }
});

Monitoring and Debugging

View system performance in Zod Studio:

• Message flow visualization
• Agent performance metrics
• Error rates and logs
• Resource usage

Next Steps

• Explore Zod Studio for visual management
• Learn about plugins to extend capabilities
• Check out advanced examples