OpenHands, the open platform for cloud coding agents, launched the OpenHands Agent Control Plane: a new operational layer for managing the sprawl of AI agents deployed across modern enterprises. Instead of treating agents as one-off tools operating independently, the Agent Control Plane provides a centralized, networked system for managing AI-driven engineering work at scale with safety, visibility, and measurable ROI.
The Agent Control Plane provides the infrastructure to orchestrate, secure, observe, and optimize agent fleets across an enterprise. “Running a single agent is straightforward; running hundreds across an organization requires a system,” said Robert Brennan, CEO and Co-Founder of OpenHands. “We’re giving enterprises that system with the new OpenHands Agent Control Plane.”
AI agents need to move beyond single-developer experiments into broader organizational use that leverage multi-agent workflows at scale. However, according to a report from McKinsey, while over 60% of organizations are experimenting with AI agents, only a small percentage have successfully deployed them in production. Without centralized control, teams face runaway permissions, fragmented workflows, and no reliable audit trail.
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The Agent Control Plane treats agents as a coordinated system where platform teams can define workflows that run in parallel across repositories and teams with consistent scheduling, retries, and state management. Best security practices also come out-of-the-box, enforcing least‑privilege policies that scope access to secrets, networks, and external systems so agents never inherit broad developer permissions.
All agent activity executes in isolated sandboxes that contain code execution, file access, and external calls while making actions observable and reproducible; and every action is logged and traceable to its workflow for debugging, compliance, and security. Usage and spend are tracked at the workflow level, giving clear visibility for cost attribution, optimization, and governance.
SOURCE: Businesswire