A robust management tool for registering, coordinating, and balancing tasks across multiple specialized AI agents in a local environment.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-multi-agent-orchestrator
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 openclaw-multi-agent-orchestrator 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 Orchestrator?
The OpenClaw Multi-Agent Orchestrator is a sophisticated coordination layer designed to manage the lifecycle and communication of multiple AI agents. It serves as a central hub that allows developers to register agents with specific capabilities, such as coding or technical writing, and then intelligently route complex tasks to the most appropriate resource. By utilizing these Openclaw Skills, users can move beyond single-prompt interactions toward a collaborative multi-agent ecosystem.
Built for performance and reliability, this skill handles the heavy lifting of load balancing and agent discovery. It ensures that no single agent is overwhelmed by distributing tasks based on availability and specialty. Whether you are building an automated development pipeline or a complex research assistant, this orchestrator provides the necessary infrastructure for scalable AI agent operations.
OpenClaw Multi-Agent Orchestrator Use Cases
- Decomposition of complex projects into sub-tasks for specialized AI agents.
- Enterprise-grade automation requiring multi-role collaboration between coders, testers, and writers.
- Load balancing high-frequency requests across multiple local agent instances to maintain performance.
- Real-time monitoring of agent health and task completion status in production-like environments.
How OpenClaw Multi-Agent Orchestrator Works
- Agents are registered with the system using specific capability tags to define their expertise.
- The orchestrator maintains a live registry and monitors the status of all active agents.
- Incoming tasks are analyzed and dispatched to the best-suited agent based on current load and capabilities.
- The system facilitates inter-agent communication, allowing agents to pass data or results to one another.
- Task progress is tracked via unique IDs, and performance metrics are logged for system-wide optimization.
OpenClaw Multi-Agent Orchestrator Setup
The orchestrator is pre-integrated into your environment. You can begin configuration by navigating to the skill directory:
# Navigate to the skill location
cd ~/.openclaw/workspace/skills/multi-agent-orchestrator
# List available agents to confirm installation
python3 scripts/orchestrator.py --list
# Register a new agent with specific capabilities
python3 scripts/orchestrator.py --register my-agent --capabilities coding writing
OpenClaw Multi-Agent Orchestrator Data Schema & Taxonomy
The orchestrator manages data through a structured registry and task-tracking system within the local workspace:
| Data Component | Description |
|---|---|
| Agent Registry | Stores agent metadata, including unique IDs and capability tags. |
| Task Manifest | A local log of all dispatched tasks, their assigned agents, and current status. |
| Performance Logs | Real-time statistics on agent response times and task success rates. |
| Configuration | Local settings stored within ~/.openclaw/ to ensure data privacy and security. |
OpenClaw Multi-Agent Orchestrator Advanced Features
- Intelligent capability-based routing that automatically selects the best agent for a natural language prompt.
- Real-time load balancing to prevent agent bottlenecks during high-concurrency operations.
- Secure agent-to-agent communication protocols for multi-step workflow execution.
- Comprehensive performance monitoring dashboard via CLI to track system efficiency.
- Privacy-centric local execution model ensuring all Openclaw Skills data remains on your machine.
SKILL.md
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