Why Multi-Agent Systems?

Complex tasks often benefit from specialized agents working together. Multi-agent systems allow you to divide work, parallelize execution, and create more robust solutions.

Architecture Patterns

Hub-and-Spoke

       ┌─────────┐
       │ Manager │
       │  Agent  │
       └────┬────┘
            │
    ┌───────┼───────┐
    │       │       │
┌───▼──┐┌───▼──┐┌───▼──┐
│Worker││Worker││Worker│
│  A   ││  B   ││  C   │
└──────┘└──────┘└──────┘

Pipeline

Input → Agent 1 → Agent 2 → Agent 3 → Output
        (Parse)   (Process) (Format)

Implementation

// Define specialized agents
const agents = {
  researcher: new OpenClawAgent({
    name: 'Researcher',
    tools: ['web_search', 'url_fetch'],
    bootstrap: 'Focus on gathering accurate information'
  }),
  
  writer: new OpenClawAgent({
    name: 'Writer',
    tools: ['file_write'],
    bootstrap: 'Create clear, engaging content'
  }),
  
  reviewer: new OpenClawAgent({
    name: 'Reviewer',
    tools: ['file_read'],
    bootstrap: 'Ensure quality and accuracy'
  })
};

Orchestration

async function collaborativeTask(topic) {
  // Phase 1: Research
  const research = await agents.researcher.run(
    'Research the latest developments in ' + topic
  );
  
  // Phase 2: Write
  const draft = await agents.writer.run(
    'Write an article based on: ' + research.summary
  );
  
  // Phase 3: Review
  const review = await agents.reviewer.run(
    'Review this article: ' + draft.content
  );
  
  // Phase 4: Revise if needed
  if (review.needsRevision) {
    return await agents.writer.run(
      'Revise based on feedback: ' + review.feedback
    );
  }
  
  return draft;
}

Communication Patterns

Message Queue: Async communication between agents
Shared Memory: Common knowledge base access
Direct Invocation: Synchronous agent calls

Best Practices

Keep agents focused on single responsibilities
Define clear interfaces between agents
Implement timeout and fallback mechanisms
Log all inter-agent communications

Conclusion

Multi-agent systems unlock complex automation scenarios that single agents cannot handle efficiently.