Run role-based agents with a review layer

Set up one OpenClaw agent per role and add oversight that flags actions drifting from the original goal.

Done with OpenClaw· Advanced· May 2026

What they did
One commenter said they split work across multiple OpenClaw agents, assigning a separate role to each one. Another described wrapping tool-using agents with a layer that compares each planned action with the session’s starting intent, logs what happens, and reviews behavior at the action, session, and cross-session levels. That way, a person only has to inspect the cases that look risky or out of line.
How it went
The thread focused on scale rather than hard numbers. One person said they manage 5–15 OpenClaw sessions, and another warned that agents can drift into unrelated but still permitted work if nobody checks them.
Tips
Keep the review queue small and surface only unusual, high-risk, or mismatched actions. If you try this, build in a pause before anything that sends messages, changes files, or otherwise affects the outside world.

Try it yourself with OpenClaw

Help me configure several OpenClaw agents, each with its own role: [role 1], [role 2], and [role 3]. Give each agent separate instructions and memory, connect their notes through a shared wiki, and add a review step that compares each agent’s actions with my original goal: [goals]. Before any agent sends a message, edits a file outside its assigned area, or takes another irreversible step, stop and ask for my approval. After setup, show me a sample oversight report and the rules you’ll use to flag high-risk or off-track behavior.

Fill in the [brackets]. Agents can make mistakes, so review anything before it is sent, paid or deleted.

Read the original on reddit.com ↗

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