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1Fix the driver behind crashes, sound loss and screen glitches2Repair Windows errors before they cause bigger problems3Scan for outdated or missing drivers - takes under a minuteOpenClaw announced OpenClaw Enterprise (OCE) on September 29, 2026, as a free, open-source control plane for managing persistent AI agents inside an organization’s own environment. It is still being developed ahead of a planned 1.0 release later in 2026, and the launch announcement describes internal pilot workloads—not a mature, generally available enterprise product—as its current stage. The project says organizations can self-host OCE, including on Kubernetes, while providing their own infrastructure and configuring model access separately.
What OpenClaw Enterprise is—and what it is not
OpenClaw describes OCE as an enterprise control plane built on the existing OpenClaw foundation. Its aim is to give organizations a way to manage persistent agents with shared security, safety, and governance controls. The project says its standardized agentic primitives are designed to let teams change the harness, model, or sandbox for internal or third-party implementations. These are project goals and product claims, not independently verified results. OpenClaw’s launch announcement outlines the positioning.
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OCE is distinct from the broader OpenClaw project, which is a self-hosted assistant with integrations across chat channels and desktop and mobile platforms. The core project’s GitHub repository identifies its license as MIT. OCE adds enterprise-oriented management and governance; the two should not be treated as interchangeable products.
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What controls does OCE say it adds?
OpenClaw lists multi-tenancy, hard boundaries between trusted and untrusted workloads, sandboxing, LLM-based reviews, fine-grained permissions, governance, and auditability across the agent lifecycle. The announcement says a reference architecture explaining the protections would be shared in the coming weeks, so its launch materials do not establish every implementation detail or provide independent assurance evidence. The announcement and OCE feature information describe the stated capabilities.
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These controls matter in light of the core project’s own security guidance. The OpenClaw security documentation warns that, in the main session, tools run on the host unless sandboxing is configured, and advises operators to review security before connecting other users or exposing the Gateway remotely. The FAQ also treats a shared gateway as one trust domain and advises separate gateways for mutually adversarial users. OCE’s emphasis on isolation and permissions does not by itself show that risk is eliminated.
Is OpenClaw Enterprise really free?
OpenClaw says OCE will always be free for any organization to use and runs on infrastructure the organization operates. Free software does not mean a free hosted service or zero operating cost: teams must supply infrastructure and separately configure model access, which may involve charges from a model provider. OpenClaw’s FAQ says the Foundation is donation-funded and describes the wider project as having no paid tier or hosted service; model-provider and chat-platform traffic is separate. The deployment documentation, the quickstart, and the project FAQ explain these distinctions.
How can organizations deploy it?
OpenClaw’s materials describe local development with docker-compose and internal deployment to a Kubernetes cluster the organization already operates. The documented local walkthrough requires an OpenAI API key; that is a requirement of the walkthrough, not evidence that every possible OCE configuration must use OpenAI. The materials do not provide hardware minimums or production sizing guidance.
| Approach | What the project documents | What the organization supplies |
|---|---|---|
| Local development | docker-compose setup; the documented walkthrough requires an OpenAI API key. | A local environment and separately configured model access. |
| Internal deployment | Deployment to an existing Kubernetes cluster. | The cluster and its operational infrastructure, plus separately configured model access. |
For setup details, consult the OCE quickstart and deployment guide. The launch materials support evaluating an organization’s existing Kubernetes and compute environment; they do not establish a recommended server size or indicate that a small personal test host is suitable for enterprise workloads.
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Who is involved, and how far along is the project?
The launch post says OCE began at OpenAI, was donated to the OpenClaw Foundation, and has since been developed with Red Hat and NVIDIA. It reports internal pilots at Red Hat and OpenAI. Those are project-reported collaborators and pilots; they do not demonstrate broad production adoption, independent certification, or that OpenAI owns the Foundation. The Foundation describes OpenClaw as free and open source and says no single company controls the project. See the launch announcement and Foundation page.
OpenClaw says it is developing OCE in the open before a planned 1.0 release later in 2026 and invites community co-development. The announcement quotes RJ Marsan, a Member of the Technical Staff at OpenAI, describing an internal Androidclaw deployment: “Our internal enterprise agent Androidclaw has really been well-adopted by our team.” That is an employee’s anecdotal statement, not a quantified adoption measure. The announcement gives no named market-size, performance, security-effectiveness, or adoption statistics.
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