The coordination of multiple AI agents working together to complete complex tasks that no single agent could handle alone.
Agent orchestration is how you get AI agents to work as a team. Instead of one agent doing everything, you have specialists: a researcher, a writer, a reviewer. The orchestrator coordinates who does what, when.
OpenClaw supports multi-agent orchestration natively. You can build supervisor-worker patterns, pipelines, debate teams, and more. Each agent has its own model, tools, and instructions.
The key challenge is not building the agents — it is managing them safely. When multiple agents act autonomously, the blast radius of a mistake multiplies.
Complex business problems require multiple perspectives and skill sets. A single agent handling customer support, research, AND writing will do all three poorly. Specialized agents coordinated by an orchestrator do each task well.
Clawctl manages multi-agent deployments with per-agent isolation, shared audit trails, and approval workflows that span the entire agent team. Team plans support 5 agents. Business plans support 25.
Try Clawctl — 60 Second DeployDepends on your Clawctl plan. Starter: 1 agent. Team: 5 agents. Business: 25 agents. Enterprise: custom.
You configure how context flows between agents. The orchestrator manages context passing.
Supervisor-worker, pipeline, debate, research team, and quality gate patterns are all supported.
Multi-Agent Systems
Systems where multiple AI agents collaborate, each with specialized roles, to solve problems more effectively than a single agent.
Agent Gateway
The control plane that routes messages between users and AI agents across multiple channels, managing authentication, rate limiting, and channel-specific protocols.
Agent Isolation
The separation of AI agents into isolated environments so that one compromised agent cannot affect others.
Tool Use
The ability of an AI agent to interact with external tools and APIs — reading data, calling functions, and taking actions in the real world.