Red Hat principal software engineer Sally O’Malley — an OpenClaw maintainer focused on enterprise use cases — has released Tank OS, an open-source tool that packages OpenClaw inside rootless Podman containers on Fedora Linux as bootable images.
The Problem: OpenClaw in the Enterprise
OpenClaw is powerful but can be dangerous if misconfigured. Real-world incidents illustrate the risk:
- A Meta AI security researcher had her agent start deleting work email
- An agent downloaded all of a user’s WhatsApp DMs in plain text
- A growing crop of malware targets OpenClaw users via malicious skills
When enterprises start running fleets of autonomous agents, these risks multiply. IT teams need the same management primitives they already use for other workloads.
How Tank OS Works
Tank OS takes a containers-first approach:
- Podman rootless containers — no root privileges on the host, eliminating an entire class of privilege escalation attacks
- Bootable Fedora image — the machine starts directly into OpenClaw, ready for headless operation
- Built-in state management — persistence and memory survive reboots without manual configuration
- Isolated credential storage — API keys and secrets stay within each container boundary
- Multi-instance support — run multiple OpenClaw agents on the same machine, each with separate credentials and no cross-access
# Conceptual: each Tank OS instance is fully isolated
podman run --rootless tank-os:latest --agent sales-bot
podman run --rootless tank-os:latest --agent code-reviewer
# No shared credentials, no shared filesystemWhy Podman Over Docker
Podman’s rootless architecture is the key differentiator. Unlike Docker, which traditionally requires a daemon running as root, Podman runs containers entirely in userspace. For OpenClaw agents that interact with sensitive systems — email, messaging, file systems — this matters.
Red Hat created Podman, and O’Malley leverages that ecosystem directly. IT teams already managing RHEL/Fedora infrastructure can integrate Tank OS using existing container update workflows.
For a deeper comparison, see my Podman vs Docker in 2026 analysis.
Enterprise Fleet Management
The real value is at scale. When organizations run hundreds of OpenClaw agents across employee machines, Tank OS gives IT administrators:
- Uniform updates — push new OpenClaw versions via standard container image pulls
- Policy enforcement — define what each agent can access at the container level
- Audit trails — container logs capture all agent activity
- Rollback — revert to previous agent versions instantly
This mirrors how enterprises already manage containerized applications on Kubernetes and OpenShift.
The Competitive Landscape
Tank OS is not the only approach. NanoClaw partnered with Docker for a similar container-based isolation model. The difference: Tank OS comes from an actual OpenClaw maintainer with direct influence on the project’s enterprise direction.
O’Malley’s position is unique — she works on OpenClaw’s core while also designing how it should run in production. Her focus: “How it’s going to look scaled out when there are millions of these autonomous agents talking to one another.”
My Take
This is the right direction. Running AI agents without container isolation in enterprise environments is like running databases without access controls — technically possible, but a security incident waiting to happen.
The combination of Podman’s rootless security model with OpenClaw’s agent capabilities creates a deployment pattern that enterprise security teams can actually approve. I expect this to become the default for any serious OpenClaw deployment.
For teams already on Red Hat infrastructure, Tank OS is worth evaluating immediately. For others, the container-based isolation pattern is something every AI agent deployment should adopt.
