LibreAI / AI Agents / NemoClaw
// agents · NVIDIA/NemoClaw

NemoClaw

NVIDIA's reference stack for running AI agents more securely inside OpenShell sandboxes

★ 22.7k stars⑂ 3.1k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

NemoClaw is an open-source ai agents project by NVIDIA (NVIDIA/NemoClaw on GitHub). It has 22,686 GitHub stars and 3,131 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.

Repository
NVIDIA/NemoClaw
GitHub stars
22,686
Forks
3,131
License
Apache-2.0
Last updated on GitHub
8 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Check the prerequisites

    Confirm you have a supported host - the docs target DGX systems or Windows Subsystem for Linux (WSL).

  2. Get NemoClaw

    Clone the repository and open the linked quickstart for the agent you want to run.

  3. Install with the installer

    Run the terminal installer, or let your coding agent install it with you using the official starter prompt.

  4. Launch your first sandboxed agent

    Accept the express install preset or choose your agent, sandbox name, inference provider and model interactively.

// features

Why people love it

Sandboxed agent runtime

Runs agents inside NVIDIA OpenShell so their work is contained rather than executed directly on the host.

Multiple agent frameworks

Supports OpenClaw (the express-install default), Hermes and LangChain Deep Agents Code with dedicated quickstarts.

Managed inference

Connects sandboxed agents to managed inference providers and models chosen at install time.

Express install

A preset-driven installer configures recommended settings per platform, with an interactive mode when you want control.

Coding-agent guided setup

An official starter prompt lets Cursor, Claude Code, Codex or Copilot install NemoClaw with you, asking one question at a time.

Full NVIDIA documentation

Ships with docs covering prerequisites, per-agent quickstarts and user guides.

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// run it

Run it yourself

  1. Clone the repository

    Get the source code from GitHub and enter the project directory.

    git clone https://github.com/NVIDIA/NemoClaw.git
    cd NemoClaw
  2. Review prerequisites and install

    The README routes installation through the official docs and terminal installer rather than a single package command.

    # See the prerequisites and quickstart for your agent in the docs linked from the README
  3. Choose your agent quickstart

    Express install sets up OpenClaw by default; other guides cover Hermes and LangChain Deep Agents.

    # Pick a quickstart (OpenClaw / Hermes / Deep Agents) from the docs index
// use cases

What you can build

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// faq

Questions, answered

Who maintains this project?

It is maintained by NVIDIA as an open-source reference stack on GitHub.

Is it free to use?

Yes - NemoClaw is Apache-2.0 licensed and free to use under that license.

Does it need a paid API key?

The software is free, but inference comes from a provider you choose during setup - that provider may require its own account or API key, and local managed inference depends on your hardware.

How does it compare to alternatives?

Compared with running OpenClaw or a similar agent directly on your machine, NemoClaw adds OpenShell sandboxing and managed inference as the default posture, trading some simplicity for isolation.

How do I get started?

Check the prerequisites in the docs, clone the repo, and follow the quickstart for OpenClaw, Hermes or Deep Agents.

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if NemoClaw is not the right fit.

Get NemoClaw

Free and open — grab the source, star the repo, and start creating.