ruOS

A cloud desktop where AI agents do the work for you

Productivity

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Artificial Intelligence

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Congrats Reuven and team. This one is big...so much bigger than it appears.

Grok Bot and ChatGPT Dots proved people want agents with their own cloud computer. But each one only runs its own vendor's models.

ruOS gives you an agent desktop with the most powerful open source stack on the planet, all preinstalled and configured. Claude Code, Codex and ruflo swarms run side by side on a real Linux box. You can watch every step the agents take. And you can try it free in a browser with no signup.

I've been using ruflo for months. Having it set up and running in a cloud desktop in minutes is a big deal. Now I can run always on agents, especially for software dev, without taking up my limited local resources. Upvoted.

Howdy!

This looks interesting. Is this largely a browser based VM that hosts a developer portal/IDE? Is it for cloud usage or can you use it on your local system or both?

Congrats on the launch!

The persistence across devices is what I'd love to use, since losing agent sessions when switching machines is really starting to annoy me.

How is the MCP access scoped? Can you limit what the AI is allowed to touch inside the desktop?

Hey Product Hunt! I'm Martin, on the Cognitum One team.

I've been testing ruOS for weeks before launch, and what still gets me is how fast it is to go from nothing to working. You open a browser tab and there's a full desktop with Claude Code, Codex and ruflo agents already set up and signed in.

I can hand it a task, close my laptop, and come back later to the finished work, with all my files still there.

It's the first time running a team of AI agents has felt simple instead of a weekend of setup.

Congrats to ruv and the whole team on launch day! Try ruOS Lite (no sign-up) and let us know what you build. Happy to help with any questions 🙌

Add to ChatGPT or Claude as an MCP

claude mcp add --transport http ruos https://ruos.cognitum.one/mcp

Or ChatGPT go to https://chatgpt.com/plugins

https://ruos.cognitum.one/mcp

Hi Product Hunt, Dragan here, Head of Agentic Quality Engineering at Cognitum One.

I've spent years watching teams get burned by agents that looked finished. The usual fix was a human re-checking everything, which erased the point of having agents. What changed my mind with ruOS was watching the work happen in a real desktop: the files are there, the terminal history is there, the agent's memory carries over. When something is done, you can see it's done, and when it isn't, you can see exactly where it stopped. That's the first setup where I'd confidently hand real work to a swarm and walk away.

A tip from the quality side: give each project its own desktop with only the apps and accounts that project needs. It keeps agents focused, makes their work easy to review, and limits the blast radius if one goes sideways. The enterprise version adds admin policy on top of that for teams in regulated environments.

Try ruOS Lite (free, in your browser, no sign-up) and tell me what you handed it and how it went. I'm around all day and happy to help you get the most out of it.

What's excited me most about this project is giving my lead agent/orchestrator scalability. Controlled parallel experimentation, cloned research variances, dedicated learning swarms with isolated context management, and on and on. The ruv stack being baked in, ruvector, ruflo, preset swarms or full customization, makes it very potent right out of the box. Start with one, build a fleet. Exciting times! Congratulations to the Cognitum.one team!

Excited to share RuOS with the Product Hunt community!

RuOS brings a full Linux desktop and the ruvnet AI-agent stack into a workspace you can access through your browser.

I’m part of the Cognitum One team, and I’d love to hear what you’re building with it.

Check out our RuOS videos to see the platform in action.

Questions and feedback are welcome, we're here to help!

I'm on the team at Cognitum One, and I wanted to share why ruOS matters to me personally.

I've spent the past year watching AI agents get really capable, and every time I tried to put one to real work I hit the same wall: it lived in someone else's cloud, on someone else's terms, and I couldn't see what it had done or why. That's fine for booking a dinner reservation, but not for anything I'd have to answer for.

What I wanted was simple. Give the agents a real computer, let me decide where it runs, set the rules for what they can touch, and show me a record of the work. And let me use more than one agent, because real work is a chain of specialists, not one assistant doing everything.

That's ruOS. It runs on infrastructure you control, works with the models you pick, and keeps context so long-running jobs pick up where they left off.

I'd love to hear what you'd want agents to do if you fully controlled the machine they ran on. Happy to answer any questions!