Coordinates multiple AI agents to collaborate on complex tasks with seamless communication and task delegation
- Manage agent-to-agent communication and message routing between OpenClaw sessions
- Delegate subtasks between specialized agents based on expertise and availability
- Orchestrate multi-agent workflows with dependency management and task sequencing
- Handle agent failures and retry strategies with graceful error recovery
- Provide real-time status monitoring and logging of coordinated agent activities
- Generate comprehensive workflow summaries and performance metrics
{
"workflow": {
"name": "my-workflow",
"maxRetries": 3,
"timeoutMs": 30000
},
"agents": [
{
"id": "agent-1",
"role": "analyst",
"capabilities": ["code-analysis", "testing"]
}
],
"tasks": [
{
"id": "task-1",
"description": "Analyze codebase",
"assignTo": "agent-1",
"dependencies": []
}
]
}Source code: github.com/NeoSkillFactory/agent-coordinator
MIT © NeoSkillFactory