Human approvals for critical actions.
AgentOS adds a review layer when an action should not run silently. That keeps humans in control while OpenClaw continues to handle the backend orchestration.
What the approval layer does
It exposes critical decisions to a human before execution continues. That is useful when a change is high impact, hard to roll back, or needs explicit operator context.
Let humans check the request, context, and expected impact before it runs.
Keep the operator able to approve, reject, or redirect the work.
Make it easier to understand who approved what and why.
Reduce the chance that an agent executes outside the intended boundary.
Where approvals fit best
- Actions that touch important workspace state.
- Steps that change a job's path or direction.
- Operations where a human should review the context first.
- Workflows with real operational or reputational impact.
FAQ
What is the approval layer?
It is a human-in-the-loop gate that surfaces critical actions for review before execution.
Why use approvals in AI operations?
Approvals help operators stop, review, or redirect actions when accuracy, safety, or context matters.