OpenClaw Enterprise is the open source, self-hosted control plane for running OpenClaw agents inside a company, with RBAC, audit logs and enforced policy kept in an isolated layer the agent can't touch. It's pre-1.0, free for any organization to self-host, and open for internal pilots right now. Red Hat and NVIDIA are contributing.
📺 Watch: OpenClaw 2.0 Just Changed AI Agents!
🔥 Get the Agent OS as a free bonus: AI Profit Boardroom members get the full Agent OS zip, prompt libraries, daily tutorials and weekly live coaching calls. → Get inside
OpenClaw first announced it on 29 September 2026 and pushed it again on X on 23 October 2026, and the searches followed. Here's what it is, how it differs from regular OpenClaw, what's in it, who should pilot it, and how to get started.
What is OpenClaw Enterprise?
The GitHub README calls it "Kubernetes for agents". The official page describes a vendor-neutral control plane for persistent agents in sensitive environments.
The problem it solves is simple. Per the announcement post from 29 September 2026, the main feedback from organizations is that agents need a stronger common standard for security, safety and governance before they can be adopted. Until then, the post says, the default stance of IT in most organizations is to ban agent platforms altogether.
OpenClaw Enterprise, or OCE, is the answer: keep the agent powerful, but wrap it in boundaries and records that a security team can sign off on.
Some background from the announcement. The project started at OpenAI, was donated to the OpenClaw Foundation, and is now an independent project built with Red Hat and NVIDIA. The post says OCE is being piloted internally at companies like Red Hat and OpenAI, and that it will always be free for any organization to use. The code is MIT licensed.
Want help working out if your team is ready for agents at all? The AI Profit Boardroom ($69/mo) gives you the Agent OS, a 30-day AI agent roadmap, daily tutorials as new tools drop, 4 coaching calls a week and the prompt library. 3,400+ members are in there.
OpenClaw vs OpenClaw Enterprise edition
Regular OpenClaw is the assistant itself: one agent, your chat apps, your machine. Enterprise sits on top and manages many agents for many teams.
| Area | OpenClaw | OpenClaw Enterprise |
|---|---|---|
| What it is | The agent and its harness | A control plane that deploys and manages agents |
| Who runs it | An individual | Platform, security and operations teams |
| Tenancy | One user setup | Namespaces that isolate agents, config and credentials per team |
| Access | Your own machine and keys | IAM with roles, access bindings and restrictions |
| Records | Your own setup | Audit log of changes and denials in PostgreSQL |
| Where it runs | Wherever you install it | Your infrastructure, Kubernetes for deployment |
| Maturity | Released | Pre-1.0, for internal pilot workloads |
The key idea from the X thread: OCE separates trusted workloads (RBAC, audit logs, enforced policy) from untrusted ones (the agent and its tools). The control plane runs in its own isolation boundary, so the agent can't touch it.
📺 Watch: Google Gemini + Perplexity Comet Enterprise + Claude Dispatch VS OpenClaw + GPT 5.4 Mini And Nano
OpenClaw Enterprise features
Here's what the docs at docs-enterprise.openclaw.org actually describe.
Control plane and data plane
The OpenClaw Control Plane, or OCC, configures and manages agent deployments. The data plane handles the conversations and tool runs. Deploying an agent is a control-plane job. Answering a message is data-plane work.
Namespaces and versioned agents
A Namespace groups and isolates a team's agents, configuration and credentials. Each deploy creates an AgentRevision with saved values that can't change, so you always know exactly what's running. Editing an agent doesn't touch the live version until you deploy again.
Identity and RBAC
Roles define permissions. Access bindings grant a role in a scope. Restrictions deny access. The detail I like: each agent gets its own service identity and does not inherit its creator's permissions.
Audit log
OCC records bootstrap, successful resource changes, authorization denials and lifecycle events like activating a new revision. A denial names the exact permission and resource refused. The docs are clear it's a security and management record, not a log of every prompt or model response.
Secrets, sandboxes and plugins
Secrets are stored apart from configuration, and the API returns their metadata, not the value. An operator can add a sandbox for network, filesystem and process limits; OpenShell is the bundled integration. Plugins are chosen per agent, and new agents start with none.
Swappable parts
You pick the harness, model and sandbox, and core pieces can be replaced with third-party or in-house versions. The docs list two execution modes today: Embedded OpenClaw, or a Dedicated Codex harness. The X thread says it plugs into sandboxes, MCP gateways and secret brokers you already use through one common contract.
Mapping this against your own security rules? Book a free AI strategy session and we'll look at where agents fit.
📺 Watch: Perplexity Comet Enterprise DESTROYS OpenClaw?
How to join the OpenClaw Enterprise pilot
There's no sales call to book. It's open source, so you start by running it.
- Get the code. The repo is github.com/openclaw/openclaw-enterprise.
- Pick a setup. The README offers Local Setup on your machine or Kubernetes Setup on a cluster you already run.
- Deploy your first agent. The docs walk through it. For the local walkthrough you need an OpenAI API key.
- Get involved. The official page has a Get involved form, bi-weekly office hours for developers, operators and security teams, and the X thread links a Slack workspace.
For local setup the README lists these steps from the repo root: pnpm cli:build, then set OCC_DEVELOPMENT_COMPUTE_DRIVER=kubernetes, OCC_DEVELOPMENT_CONTROL_PLANE=kubernetes and OCC_DEVELOPMENT_SANDBOX_DRIVER=none, then run ./bin/occ dev up. Without that profile, occ dev up starts a Compose preview that can't deploy agents.
You'll need Docker Engine or Podman, k3d, kubectl, Helm, Bash, Python 3, Go, Node.js 24.22.1 or newer, and pnpm. That list alone tells you who this is for.
Who OpenClaw Enterprise is for
This is a platform team tool. Good fits:
- Companies where IT blocks agents today and needs RBAC, audit and isolation before saying yes.
- Teams already on Kubernetes who want agents on their own infrastructure.
- Security and operations teams who want to help shape a standard before 1.0.
Not a fit: solo builders or small businesses who just want an agent working this week. The official page says it's intended for internal pilot workloads today, with more work ahead. The announcement targets 1.0 later this year.
OpenClaw Enterprise use cases
The announcement shares one real example. OpenAI runs an internal enterprise agent called Androidclaw with access to its codebases, git, GitHub and logging. Per the quote from an OpenAI staff member in the post, it triages in team channels: when a build breaks, it finds the PR and can fix it, and it can trace a glitch, publish a fix with video evidence and merge it.
That's the pattern OCE is built for. Persistent agents with deep access to internal systems, where you need to prove who could do what and when. Think engineering triage, internal support and ops work, each team in its own Namespace with its own credentials.
Not sure which of those would pay off first for you? Talk it through in a free AI strategy session.
An alternative: Hermes Agent
If you searched "openclaw enterprise alternative" because you want several agents without running a cluster, look at Hermes Agent from Nous Research. You can split work across profiles with hermes profile create, each with its own model and settings. And Hermes Cloud runs hosted Hermes Agent instances you manage from the Nous Portal.
That's how I work: Hermes every day inside my Agent OS with a profile per model. My Hermes multiple profiles guide shows the setup, and Hermes Agent vs OpenClaw compares the two head to head. For picking models, see Goldie Bench, and the Agent OS guide covers the whole system.
FAQ
Is OpenClaw Enterprise free?
Yes. The official page says self-hosting is free for any organization, and the announcement says it will always be free to use.
Where is OpenClaw Enterprise on GitHub?
At github.com/openclaw/openclaw-enterprise, under the MIT license. The docs live at docs-enterprise.openclaw.org.
Is it ready for production?
Not yet. It's pre-1.0 and intended for internal pilot workloads.
What is the OpenClaw Enterprise harness?
The harness runs agent turns and tools. OCE supports Embedded OpenClaw or a Dedicated Codex harness, and you can swap in your own.
Thinking about OpenClaw Enterprise for your team? Join the AI Profit Boardroom to learn agents hands-on, or book a free AI strategy session and we'll plan the rollout together.
