A comprehensive methodology for building and managing hierarchical AI agent teams through backend orchestration and external communication layers.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multi-agents-orchestration
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install multi-agents-orchestration using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is OpenClaw Multi-Agent Orchestration?
This methodology provides the essential framework for orchestrating multiple AI agents within the OpenClaw ecosystem. It bridges the gap between internal backend processing and external user interaction, allowing developers to create sophisticated agent hierarchies. By leveraging Openclaw Skills, you can deploy a main controller that delegates specialized tasks to sub-agents, ensuring each component has its own workspace, memory, and specialized persona.
The framework supports three distinct collaboration modes: Backend Spawning for invisible task delegation, Discord Mentioning for character-driven public interaction, and Bot-to-Bot communication for transparent multi-agent collaboration. This structured approach ensures that complex engineering, financial analysis, or research tasks are handled by the most appropriate AI expert while maintaining a unified interface for the end user.
OpenClaw Multi-Agent Orchestration Use Cases
- Creating hierarchical AI teams where a Lead Agent manages specialized researchers and developers.
- Building customer-facing Discord bots that can internally trigger expert sub-agents for technical support.
- Implementing complex data analysis pipelines that require isolated workspaces and long-term memory for different domains.
- Establishing high-availability AI systems with dedicated rescue agents for error recovery and system health monitoring.
How OpenClaw Multi-Agent Orchestration Works
- The Main Agent analyzes the incoming user request to determine if sub-task delegation is necessary.
- Using the sessions_spawn function, the Main Agent launches a specific sub-agent (e.g., a financial analyst) in a background process.
- The sub-agent executes the task within its unique workspace, guided by its SOUL.md and IDENTITY.md configuration files.
- Upon completion, the sub-agent returns the structured data or analysis to the Main Agent.
- The Main Agent aggregates results from all sub-agents and provides a consolidated response to the user.
- For external visibility, agents can optionally be mapped to Discord bots via gateway bindings, allowing direct @mention interaction.
OpenClaw Multi-Agent Orchestration Setup
- Create a dedicated workspace directory for your new agent:
mkdir -p ~/.openclaw/workspace-{agent-id}
- Define the agent's persona by creating a SOUL.md file in the new workspace containing its responsibilities and boundaries.
- Register the agent in your openclaw.json file within the agents.list array, specifying its ID, workspace path, and LLM model.
- Restart the OpenClaw gateway to initialize the new team configuration:
openclaw gateway restart
OpenClaw Multi-Agent Orchestration Data Schema & Taxonomy
The orchestration methodology organizes data through a hierarchical file system and JSON configuration:
| File | Purpose | Key Metadata |
|---|---|---|
| openclaw.json | Global Config | Agent registry, Discord tokens, and gateway bindings |
| SOUL.md | Core Logic | Role definition, workflow style, and task boundaries |
| IDENTITY.md | Metadata | Display name, emoji, and persona vibes |
| TEAM.md | Registry | List of available agents for the main controller to reference |
| openclaw-rescue.json | Fallback | Independent configuration for emergency recovery agents |
OpenClaw Multi-Agent Orchestration Advanced Features
- Multi-path orchestration allowing agents to function simultaneously as backend sub-agents and public Discord bots.
- Granular Discord permission overriding with a three-layer priority system: Channel > Account > Top-level.
- Autonomous bot-to-bot collaboration via the allowBots and allowFrom white-listing mechanism.
- Layered architectural design separating the Main Control, Professional, Technical, Access, and Tool layers for enterprise-grade scalability.
- Independent rescue gateway support with separate LLM fallbacks to ensure system resilience.
SKILL.md
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