NemoClaw

NemoClaw is a reference stack that runs AI agents like OpenClaw and Hermes more safely inside sandboxes for developers and technical teams.

What it is good for

  • Running AI agents in a sandbox to limit what they can access
  • Setting up managed inference for agents through a guided installer
  • Controlling which network sites an AI agent can reach
  • Keeping agent state and secrets contained during long tasks

At a glance

Who it is for
Setup
Guided command-line setup

Level 4 of 5. You copy and paste commands into a terminal by following the instructions. Comfortable territory for vibe coders.

Cost
Free and open source
Type
Framework or SDK
Tasks
Works with
OpenClaw, Hermes, LangChain Deep Agents Code, NVIDIA OpenShell, Cursor, Claude Code

Momentum

Rank this week
Not ranked yet
Best rank
None yet
GitHub stars
22,916

GitHub numbers as of Nov 2, 2026. Updated weekly.

22.4k 22.7k 23k Sep 24, 2026 Nov 2, 2026
GitHub stars for NemoClaw: 22,430 on Sep 24, 2026, 22,916 on Nov 2, 2026. Source: GitHub.

Questions

Is NemoClaw free?
Yes. It is free and open source (Apache-2.0 license).
Do I need to know how to code to use NemoClaw?
You do not need to write code, but setup means copying and pasting commands into a terminal by following its instructions.
What does NemoClaw work with?
According to its own documentation, it works with OpenClaw, Hermes, LangChain Deep Agents Code, NVIDIA OpenShell, Cursor, and Claude Code.
What is NemoClaw good for?
Running AI agents in a sandbox to limit what they can access, setting up managed inference for agents through a guided installer, controlling which network sites an AI agent can reach, and keeping agent state and secrets contained during long tasks.

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Last updated Nov 2, 2026. Tracked since Oct 28, 2026. Parts of this summary required judgment because the source material was brief. The summary was written by an AI model from the project's own description and checked against our copy rules. Spotted an error? Tell us.