Coordinating multiple OpenClaw agents to tackle complex tasks together
A multi-agent system is an architecture where multiple OpenClaw agents work together, each handling different parts of a larger workflow. One agent might orchestrate the work, delegating to specialist agents for research, writing, coding, or external API calls — combining their outputs into a final result.
In OpenClaw, multi-agent systems typically use an orchestrator agent that can spawn or call sub-agents via the agent-send tool. Each sub-agent has its own SOUL.md, capabilities, and context. The orchestrator coordinates them, collecting results and managing the overall workflow. This allows parallel execution and specialization that a single agent cannot achieve.
Multi-agent systems unlock a new class of complex automation. A single agent is limited by its context window and generalist nature. A team of agents can research, write, validate, and publish in parallel — completing in minutes what would take hours sequentially. Clawfleet supports multi-agent deployments with proper resource isolation per agent.
A content creation system: Researcher agent gathers sources → Writer agent drafts content → Editor agent reviews → Publisher agent posts to blog. All coordinated by an Orchestrator agent.
Clawfleet manages your OpenClaw instance — Multi-Agent System, backups, restarts, and cost tracking — all included. Start for $1.
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