Nemoclaw VS OpenClaw: Who Wins?

Here's the thing that nobody explains clearly. NemoClaw and OpenClaw are not two different products fighting for the same spot. NemoClaw runs OpenClaw inside it, same agent, different cage. That's the whole story right there, but the cage matters.

And the differences between running OpenClaw raw versus running it through NemoClaw, the kind of differences that will determine whether your business can actually use this stuff, or whether it stays a toy for developers. So let me walk you through what this actually changes. The first thing that changes is what the agent can touch. OpenClaw can access everything on your system.

NemoClaw restricts the agent's activity to sandbox and TMP folders. This prevents accidental or malicious modifications to critical files. That sounds like a small thing. It's not a small thing.

When your AI agent has full access to your system, it means it can read your files, write to your files, delete your files, access your credentials, touch your configs, and talk to every service you've ever connected it to. When something goes wrong, and things go wrong all the time, the blast radius is your entire machine. Security Scorecard found 135,000 OpenClaw instances exposed to the internet with insecure defaults. Now, the other crazy thing here is over 40,000 OpenClaw instances have been found exposed on the internet, with 63% assessed as vulnerable to remote exploitation.

So the first difference is access. OpenClaw gives the agent everything. NemoClaw draws a circle and says the agent lives inside this circle. Whatever is outside the circle, the agent has to ask permission to touch.

The second difference is the policy machine. There's a policy engine layer. Basically, YAML files that an admin sets up to define what actions the agent can take, what network calls it's allowed to make, and what requests need human approval before they go through. For a big company deploying agents across an organization, that matters a lot.

Cisco and Salesforce are not going to let an AI agent run with full file system access on the company infrastructure without tools like this. Think of it like this, right? You have a new employer. They're incredibly capable.

They could do almost anything you ask, but you still give them a job description. You still tell them what they're allowed to do without checking with you first and what they need to escalate. The policy engine is the description. OpenClaw has no job description.

The agent just does whatever it thinks is helpful. And we've already seen what that looks like in practice. A Meta executive reported that her agent wiped her entire email. A computer science student discovered his OpenClaw instance had autonomously created a dating profile on Multimatch and was screening romantic partners without telling him.

No one asked it to do these things. The agent decided these things were helpful. That's what happens when you have a very capable system with no guardrails. Now, NemoClaw puts the guardrails in.

The agent still does work, but now you have a written set of rules for what it can and cannot do on its own. The third difference is the model underneath. OpenClaw is model agnostic. For example, it supports Claude, GPT, Gemini, Grok, and local models through Alarma.

NemoClaw is optimized for NVIDIA's Nemetron 3 Super 120B. This model uses a hybrid architecture, 120 billion parameters, 12 billion active. It scores 85.6% on PinchBench, the highest amongst open models. Now, the main thing to note here is that you can't use all of the models inside NemoClaw.

Whereas, for example, if you're using something like OpenClaw, you get to choose, right? And here's another thing as well, right? And this is where things get really complicated for people who are excited about NemoClaw from NVIDIA. So NemoClaw is currently Linux only, running inside a controlled environment and connecting exclusively to NVIDIA's models.

If you're a Mac or Windows user hoping to spin up NemoClaw, you'll hit a wall unless you use Linux emulation or WSL2 on Windows. So if you're on a Mac, you can't just run NemoClaw today, not natively. NemoClaw strips out the model choice and routes everything through NVIDIA Cloud. Both of these together mean that if you're not already on Linux and happy running exclusively on Nemotron models, NemoClaw is not actually available to you in any practical sense.

You would have to rebuild your entire setup to use it for a product that is at the time of writing day one alpha software, right? And that's important context. This just launched this week, it's brand new. There will be rough edges.

There'll be things that don't work. There'll be documentation that doesn't even exist yet. And anyone who tells you NemoClaw is ready to run your business today is moving way too fast, my friends. But the direction is right.

OpenClaw is better for users who want openness, local control, and deep customization. NemoClaw is better for teams that need stronger security sandboxing and enterprise guardrails. And the real question here is not NemoClaw versus OpenClaw. The real question is, where are you on this journey?

If you're a solo person experimenting, building something for yourself, well, OpenClaw is fine. You know, it's free, connects to everything, super powerful, super customizable, and you can kind of like just work your way through it. However, NemoClaw, you know, for example, if you need something that's production, you know, maybe you've got an AI agent that's touching production systems or customer data or regulated environments. Well, then NemoClaw is a clear choice.

And here's the thing that I keep saying to people who are watching this space, right? The companies that are going to win with AI agents are not the ones who move the fastest, right? They're the ones who move the fastest without blowing themselves up. OpenClaw is very fast, right?

22% of all monitored organizations have employees running OpenClaw without IT approval, creating massive shadow AI exposure. That means right now, today, roughly one in five companies has employees running powerful autonomous AI agents on their devices. And the IT department has no idea what's happening or how to control it, and no way to know what data those agents are touching or sending. And that's happening right now.

So NemoClaw is NVIDIA's answer to that reality. And NVIDIA is not playing small with this. You know, they're already working with Microsoft, Google, they're working with Trend AI, Cisco, et cetera. They are building the security standard for the entire AI ecosystem.

And NemoClaw directly addresses the widespread enterprise hesitation surrounding open source autonomous agents by natively baking in stringent security, data privacy features, and rigid compliance controls from day one. And because NemoClaw is chip agnostic, organizations can deploy it securely, even if they're utilizing AMD or Intel or Google TPUs. And that is a strategic move. You know, NVIDIA doesn't need you to buy their chips to use NemoClaw.

They want NemoClaw to become the standard layer underneath all enterprise AI agents. And then when those agents need more compute, and they will need more compute, NVIDIA hardware is a natural choice. So NVIDIA gives away the layer that drives adoption and monetizes what sits beneath it, aka the chips and the computing power that every AI agent needs to actually run. It's the same way that Microsoft didn't charge for Internet Explorer and Google didn't charge for Android, but they unlocked adoption where they could monetize it.

It's not charity, it's strategy, and it's very good strategy. So where does that leave you right now? Well, if you're running OpenClaw personally, keep running it, you know, learn it, understand how agents work, understand how skills work, understand what it means to give an AI system access to your tools and accounts. That knowledge is not going away.

It's only going to become more valuable. If you're thinking about bringing agents into your business, I would wait for NemoClaw to mature post-alpha. It's weeks away from being something you can actually rely on. But start learning the concepts now so that when it's ready, you're not starting from zero.

And if you're an enterprise or a team with real data at stake, I wouldn't touch OpenClaw on production systems, right? Full stop. The CVs are real. The supply chain attack was real.

The exposed instances are real. So wait for NemoClaw or something like it before you deploy this stuff anywhere it matters. And if you're someone who looks at all of this and thinks, I don't know what any of this means to me. I just need to understand AI before I fall behind.

That feeling is right, right? Everyone feels behind. That's what I'm trying to build inside the AI Profit Boardroom. It's a community where you can connect with people.

You can get tutorials, actual prompts. There's 2,600 people. And everything inside there is focused on helping you actually implement, grow, scale, and learn with AI automations. Feel free to check that out.

Link in the comments description or just go to the AIProfitBoardroom.com. Now, let me bring this back to the bigger picture. Jensen Huang described what is changing about the nature of AI itself. He said, the fast prompts, the way you kind of think about it was what is, when is, who is, right?

That's the last prompt. This now prompt goes create, do, build, right? Read that again. So the old AI was basically like an old lookup tool, a kind of chatbot that you speak to.

The new way of using AI is that it actually goes off and it does things, right? And that's what it's all about. So Nemaclaw is basically NVIDIA's answer to that question and how it works and how to use it. It's gonna be working with Nemetron 3 Super, really powerful way.

But Huang actually said companies adopting agentic AI may gain a significant advantage whilst others risk falling behind as the technology actually scales. So the gap between early and late is not gonna be small. I mean, you imagine like 12 months, like the people running AI agents, the compound interest that they get, the time savings that they get, that's only going to compound as we go along. So it's gonna be interesting to see where we go.

Honestly, I would say unless you are willing to, well, I would look at it like this, right? With Nemaclaw, fantastic idea, but it's still in alpha and you can't really run it on Mac yet. So if you're on Mac and you want something quick and easy to install, you can go with OpenClaw. The other option that you have between all these that we didn't even cover here is, you could use Nemaclaw or you could use OpenClaw, but they are not that easy to use.

They're not that secure. If you want something more secure, you can actually go with like Manus. Manus computer, they have their own sort of alternative to OpenClaw, same with Perplexe as well. And these agents, they run in the cloud.

That might be a better option if you're not techie, if you're not comfortable messing around in your terminal, if you're not comfortable with the security risks, then you can go with Manus or Perplexe computer and then you sort of cancel all of that out. And that might be an alternative to Nemaclaw and OpenClaw that most people haven't considered. But if you're on Linux and you're looking for something to experiment with, go with Nemaclaw. If you're fully technical, if you love terminal, if you love customizing, then go with OpenClaw itself.

And they're the three options you've got basically. So thanks for watching and I'll see you on the next one. Cheers, bye bye.