coordination.md•3.05 kB
# 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
```bash
# 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:
```bash
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`:
```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