OpenClaw launches free enterprise control plane for managing persistent AI agents

# Enterprise is and why it matters

OpenClaw Enterprise (OCE) is a free, open-source control plane designed to run persistent AI agents in multi-user and sensitive enterprise environments. It builds an organizational layer on top of the OpenClaw agent framework so IT and security teams can deploy agentic workflows without sacrificing governance or isolation between teams.

# Origins and collaborators

The project began as an autonomous agent framework created inside OpenAI and was later donated to the OpenClaw Foundation to operate independently of a single vendor. The codebase evolved rapidly through community contributions and a major public update, OpenClaw 2.0, which introduced collaborative features and improved security. Red Hat and NVIDIA are active collaborators, and internal pilot programs are running at Red Hat and OpenAI.

# Core capabilities

OCE focuses on the controls enterprises typically require:

• Multi-tenancy: separate teams or business units can run agents in the same organization without cross-tenant data exposure.
• Governance and auditability: administrators gain visibility into agent activity and can apply policies across agents and teams.
• Security boundaries: credential protection and trust boundaries reduce the risk of accidental data access.

# Deployment options and operational model

Teams can deploy OCE in two main ways:

• Local development: docker-compose for development and testing.
• Production: Kubernetes for scalable, production-grade deployments.

The platform is entirely self-hosted. There are no paid tiers, hosted services, or premium features in the announced distribution—organizations run it on their own infrastructure.

# OpenClaw 2.0

# Enterprise signals to watch

# Practical takeaways for IT and security teams

If your organization is evaluating agentic AI tools, OCE offers a route to run persistent agents with explicit separation between teams and centralized policy controls. Because it's self-hosted and model-agnostic, it can fit into strict compliance postures and allow organizations to retain control over data, credentials, and model choices.

# Immediate next steps for interested teams

• Review OpenClaw 2.0 changes related to collaboration and security.
• Prototype OCE locally via docker-compose to validate workflow and policy controls.
• Plan a staged Kubernetes rollout for production, including credential protection and tenant isolation tests.
• Coordinate pilots with security, compliance, and engineering to confirm governance needs are met.

OpenClaw Enterprise converts a popular personal-agent framework into a control plane that enterprises can run themselves, prioritizing isolation, oversight, and flexibility over vendor lock-in.