Many people are already familiar with OpenClaw, which is essentially an AI that can actually do real work—not just chat, but a "digital employee" capable of operating your computer, reading and writing files, executing commands, and calling software. Its core advantage is "local-first"—data doesn't need to be uploaded to the cloud, keeping your privacy in your own hands. Ask it to organize folders, and it will actually access your hard drive; ask it to send emails on a schedule, and it will do it. With 280,000 stars on GitHub and nearly 400 community contributors, its popularity is no exaggeration.

However, OpenClaw has an unavoidable fatal flaw: it's too capable, to the point of being frightening.

Because it requires high system privileges to function, theoretically it can access almost everything on your computer. Security experts have long warned of this; the proportion of malicious code detected in the ClawHub skill market is alarmingly high, and the previous ClawHavoc supply chain poisoning incident directly affected hundreds of thousands of devices. Security organizations have reported at least 110 vulnerabilities in OpenClaw, with tens of thousands of publicly detectable instances posing a risk of remote code execution. Major companies like Meta and Samsung have issued bans, prohibiting their employees from using it on office devices.

This creates an awkward situation—the technology is excellent, but who dares to use it in a production environment?

That's where NemoClaw comes in.

On March 17th, NVIDIA officially released the NemoClaw software stack at the GTC conference. Note its positioning: it's not a rewritten version of OpenClaw by NVIDIA, but rather the infrastructure software that complements OpenClaw. To illustrate, OpenClaw is like a skilled employee, and NemoClaw is like a glass enclosure built for that employee—the employee can work however they want inside, but outsiders can't get in, and the employee can't leave even if they want to do something malicious.

Jensen Huang explicitly stated at the event that OpenClaw will become the "operating system for personal AI," equivalent to Mac or Windows in the PC era. NemoClaw is the environment that enables this operating system to run securely.

What exactly does NemoClaw do? Essentially, it does two things.

First, it offers one-click installation, lowering the barrier to entry. In the GTC demo, users could install NVIDIA's Nemotron model and the newly released OpenShell runtime environment with just one command. Previously, deploying OpenClaw required configuring Node.js, handling dependencies, and adjusting settings; now, all of that is eliminated.

Second, and more importantly, it provides a "security barrier" for OpenClaw. NemoClaw's built-in OpenShell provides an isolated sandbox environment. OpenClaw runs inside this sandbox, isolated from external systems. Want to read your sensitive files? The sandbox blocks it. Want to send unauthorized data out? There's another layer of "privacy router" within the sandbox. Using large cloud models is also possible, but it has to go through this dedicated line, not just barge in.

NVIDIA has also adopted a hybrid model strategy—the agent can both call upon locally running open-source models (such as their own Nemotron) and connect to cutting-edge cloud models through a secure channel. This ensures privacy without sacrificing capabilities.

So, the relationship between these two should now be clear.

OpenClaw is responsible for "doing the work"—it's the executor that understands your instructions, breaks down tasks, and calls upon tools. Its essence lies in open source, local priority, and the ability to truly operate your computer.

NemoClaw is responsible for "guarding the environment"—it's the guardian that provides a secure environment, isolates risks, and manages permissions. Its mission is to make OpenClaw usable and safe in enterprise and serious scenarios.

OpenClaw founder Peter Steinberger also stated at GTC that collaborating with NVIDIA is about building a strong "guardrail" for AI agents, allowing everyone to easily create secure, high-performance AI assistants. In other words: We'll do the job well, and leave the security to the professionals.

At this point, you should be able to guess what this means for your future "shrimp farming" (i.e., your business strategy).

If you're just using it personally, running OpenClaw on your own computer to automate scripts and organize files, then NemoClaw might not be relevant to you for now. Your risks are manageable; the data is in your own hands, and you're responsible for any issues that arise.

However, if you're using it as a team, or want to deploy OpenClaw to a cloud server for 24/7 operation, or even integrate it with your company's business systems, then you'll eventually need to study NemoClaw. This is because it addresses the most pressing security and compliance issues for enterprises. NVIDIA had already contacted major companies like Salesforce, Cisco, Google, Adobe, and CrowdStrike before its release, and the target user profile is clear—enterprises that want to use OpenClaw but are hesitant to do so.

Another detail worth noting: NemoClaw can run on machines without NVIDIA GPUs. It's not forcing you to buy its hardware, but rather aiming to expand its ecosystem. Jensen Huang's calculations are clear—the more OpenClaw is used, the greater the demand for inference computing power, and eventually some of it will end up on Nvidia chips.

OpenClaw's popularity, from last November to now, has covered in four months what other projects took years to achieve. 280,000 stars, a nationwide frenzy for "shrimp farming," Mac minis sold out, and long lines outside Tencent's headquarters for free installation. But simultaneously, security warnings have been pouring in: the Ministry of Industry and Information Technology issued risk alerts, universities issued security reminders, and major companies issued direct bans.

This "half-and-half" situation precisely illustrates that this technology is stuck at a critical juncture—its capabilities are already enviable, but its security hasn't kept pace.

The release of NemoClaw is Nvidia's move at this juncture. It's not meant to replace OpenClaw, but rather to pave the way for it. It allows those who were hesitant due to security concerns to finally take that step. In the future, when discussing OpenClaw, we might need to use a different term—not "shrimp farming," but "shrimp farming in a glass enclosure."