OpenClaw Guide for Multi-Agent Teams
Use this guide to understand OpenClaw videos, transcripts, multi-agent routing, workspaces, and handoffs before building your own agent team.
OpenClaw Multi-Agent FAQ
Answers for people watching OpenClaw tutorials or planning a multi-agent workflow.
OpenClaw is used to build and route multi-agent workflows. A team can include separate agents for research, writing, review, coding, or operations, with each agent keeping its own workspace and task context.
Multi-agent routing means user messages or system events can be sent to the right agent instead of one general assistant handling everything. This makes the workflow easier to control and review.
Separate workspaces help each agent keep focused state, files, memory, and session context. That is useful when different agents are responsible for different parts of a larger workflow.
Yes. The page is designed for people watching OpenClaw tutorials who want the key ideas, setup steps, and multi-agent concepts without losing the thread of the video.
Plan the agent roles, input channel, routing rules, handoff points, workspace boundaries, and how you will review outputs before letting the team run on real tasks.