NVIDIA just gave AI agents their own secure sandbox
NVIDIA open-sourced NemoClaw — a sandbox that lets AI agents run autonomously while keeping your data safe. 6.8K GitHub stars and climbing.
If you've ever worried about giving an AI agent free rein on your computer, NVIDIA just built the safety net you've been waiting for. NemoClaw is a new open-source tool that lets AI agents — like Claude Code or NVIDIA's own OpenClaw — run freely inside a locked-down environment where they can't touch your files, access unauthorized websites, or leak your private data.
The project already has 6,800 GitHub stars and was announced alongside NVIDIA's OpenShell runtime at GTC 2026. You can install it with a single command.
Why AI agents need a sandbox
Today's AI coding agents aren't just answering questions — they're writing code, running terminal commands, browsing the web, and even spawning sub-agents to handle subtasks. NVIDIA calls these autonomous agents "claws" — AI systems that "take a goal, figure out how to achieve it, and execute indefinitely" without human supervision.
That power is incredible, but also risky. An unrestricted AI agent could accidentally delete important files, send data to the wrong server, or run code it shouldn't. NemoClaw solves this by wrapping the agent in three layers of protection:
Three protection layers:
The Sandbox — A locked container (like a virtual computer) where the AI agent lives. It can break things inside without affecting your real system.
The Policy Engine — Rules that control what the agent can and can't do. Which files it can read, which websites it can visit, which commands it can run. All with a full audit trail.
The Privacy Router — Keeps sensitive data on your device by using local AI models. Only sends information to cloud AI (like Claude or GPT) when your privacy rules allow it.
One command to install
Setting it up is surprisingly simple. Run one command and an interactive wizard walks you through everything:
curl -fsSL https://nvidia.com/nemoclaw.sh | bashThis installs the sandbox, sets up the NVIDIA Nemotron 3 Super 120B model (a powerful AI brain that runs in NVIDIA's cloud), and configures your security policies. After that, you connect to your agent with:
nemoclaw my-assistant connectYou'll need a machine running Ubuntu 22.04+ with at least 8 GB of RAM and Docker installed. An NVIDIA GPU is not required — the heavy AI processing happens in NVIDIA's cloud.
Who should care
If you use AI coding tools like Claude Code, Cursor, or Aider — NemoClaw lets you run those same agents with guardrails. You get the productivity boost without wondering what the AI might be doing behind the scenes.
If you manage a development team — this is enterprise-ready. The same security setup works whether you're running one agent on a laptop or hundreds across your company's servers. IT administrators can set organization-wide policies for what AI agents are allowed to do.
If you're building AI agents — NemoClaw works with unmodified agents. You don't need to rewrite your code. Just wrap your existing agent in the sandbox and the security policies apply automatically.
Hardware requirements
• Minimum: 4 CPU cores, 8 GB RAM, 20 GB disk
• Recommended: 4+ CPU cores, 16 GB RAM, 40 GB disk
• Software: Ubuntu 22.04+, Docker, Node.js 20+
The bigger picture
AI agents are getting more autonomous every week. Frameworks like Superpowers (94K stars) are teaching agents to develop their own skills. ZeroBoot is making sandboxes 200x faster. And now NVIDIA — the company whose chips power most of the world's AI — is building the security infrastructure to keep all of this safe.
NemoClaw is Apache 2.0 licensed (free to use, even commercially) and currently in alpha. Check out the GitHub repository and the official documentation to get started.
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