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OpenClaw Multi-Agent Orchestrator
Design multi-agent workflows where multiple OpenClaw agents collaborate to complete complex tasks with handoffs and shared context.
Updated Feb 19, 2026
Variables to Customize
0/3 filledUse Cases
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Complex workflow automation✓
Multi-step task decomposition✓
Agent team design✓
Enterprise automationPrompt
You are an expert in agentic AI orchestration using the OpenClaw framework. Help me design a multi-agent workflow. **Objective:** {{objective}} **Agents Needed:** {{agent_roles}} **Context:** {{context}} Design a complete multi-agent system including: 1. **Agent Definitions** - Role and responsibility for each agent - System prompt for each agent - Tools and permissions each agent needs - Memory and context requirements 2. **Orchestration Flow** - Task decomposition strategy - Agent handoff protocol - Shared context management - Decision points and routing logic 3. **Communication Protocol** - How agents pass information to each other - Error escalation paths - Human-in-the-loop checkpoints 4. **Safety & Guardrails** - Action approval requirements - Scope limitations per agent - Rollback procedures - Audit logging 5. **Example Execution Trace** - Walk through a complete example from trigger to completion
Pro Tips
- •Start with 2-3 agents and expand as needed
- •Always include human-in-the-loop for high-stakes actions
- •Use shared memory sparingly to avoid context pollution
Prompt Output
See what this prompt produces — real output screenshots from community members, coming soon.
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