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Agent Coordination System

Overview

The Claude-Flow coordination system manages multiple AI agents working together on complex tasks. It provides intelligent task distribution, resource management, and inter-agent communication.

Agent Types and Capabilities

  • Researcher: Web search, information gathering, knowledge synthesis
  • Coder: Code analysis, development, debugging, testing
  • Analyst: Data processing, pattern recognition, insights generation
  • Coordinator: Task planning, resource allocation, workflow management
  • General: Multi-purpose agent with balanced capabilities

Task Management

  • Priority Levels: 1 (lowest) to 10 (highest)
  • Dependencies: Tasks can depend on completion of other tasks
  • Parallel Execution: Independent tasks run concurrently
  • Load Balancing: Automatic distribution based on agent capacity

Coordination Commands

# Agent Management
npx claude-flow agent spawn <type> --name <name> --priority <1-10>
npx claude-flow agent list
npx claude-flow agent info <agent-id>
npx claude-flow agent terminate <agent-id>

# Task Management  
npx claude-flow task create <type> <description> --priority <1-10> --deps <task-ids>
npx claude-flow task list --verbose
npx claude-flow task status <task-id>
npx claude-flow task cancel <task-id>

# System Monitoring
npx claude-flow status --verbose
npx claude-flow monitor --interval 5000

Workflow Execution

Workflows are defined in JSON format and can orchestrate complex multi-agent operations:

npx claude-flow workflow examples/research-workflow.json
npx claude-flow workflow examples/development-config.json --async

Advanced Features

  • Circuit Breakers: Automatic failure handling and recovery
  • Work Stealing: Dynamic load redistribution for efficiency
  • Resource Limits: Memory and CPU usage constraints
  • Metrics Collection: Performance monitoring and optimization

Configuration

Coordination settings in claude-flow.config.json:

{
  "orchestrator": {
    "maxConcurrentTasks": 10,
    "taskTimeout": 300000,
    "defaultPriority": 5
  },
  "agents": {
    "maxAgents": 20,
    "defaultCapabilities": ["research", "code", "terminal"],
    "resourceLimits": {
      "memory": "1GB",
      "cpu": "50%"
    }
  }
}

Communication Patterns

  • Direct Messaging: Agent-to-agent communication
  • Event Broadcasting: System-wide notifications
  • Shared Memory: Common information access
  • Task Handoff: Seamless work transfer between agents

Best Practices

  • Start with general agents and specialize as needed
  • Use descriptive task names and clear requirements
  • Monitor system resources during heavy workloads
  • Implement proper error handling in workflows
  • Regular cleanup of completed tasks and inactive agents

Troubleshooting

  • Check agent health with npx claude-flow status
  • View detailed logs with npx claude-flow monitor
  • Restart stuck agents with terminate/spawn cycle
  • Use --verbose flags for detailed diagnostic information