LibreAI / Agentes de IA / NemoClaw
// agents · NVIDIA/NemoClaw

NemoClaw

NemoClaw es un proyecto de agentes de IA de código abierto de NVIDIA (NVIDIA/NemoClaw en GitHub). Tiene 22.686 estrellas en GitHub y 3.131 bifurcaciones, se publica bajo la licencia Apache-2.0 y se actualizó por última vez en GitHub el 8 de octubre de 2026.

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

★ 22,7k estrellas⑂ 3,1k bifurcacionesApache-2.0actualizado oct 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Repositorio
NVIDIA/NemoClaw
Estrellas en GitHub
22.686
Bifurcaciones
3.131
Licencia
Apache-2.0
Última actualización en GitHub
8 de octubre de 2026
Categoría
Agentes de IA
Tipo de ficha
Guía de instalación completa
Sitio oficial
Official site
// cómo funciona

Cómo funciona

  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.

// características

Por qué gusta tanto

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.

Advertisement
// ejecútalo

Ejecútalo tú mismo

  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
// casos de uso

Qué puedes crear

Advertisement
// preguntas frecuentes

Preguntas frecuentes

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.

// sigue explorando

Herramientas similares

Agentes de IA

zeroboot

Sub-millisecond VM sandboxes for AI agents via copy-on-write forking.

★ 2,5k estrellasApache-2.0
Ver la guía →
Agentes de IA

labs-OO-Agents

NVIDIA's object-oriented, Pythonic approach to building AI agents.

★ 2,3k estrellasNOASSERTION
Ver la guía →
Agentes de IA

UI-TARS-desktop

ByteDance's open-source multimodal AI agent stack: GUI agents that see and operate real desktops

★ 39,2k estrellasApache-2.0
Ver la guía →
Agentes de IA

E2B

Secure sandboxes where AI agents run real code.

★ 14,2k estrellasApache-2.0
Ver la guía →
Agentes de IA

nasiko

The open runtime for AI agents — a Rust platform for running, governing and routing agents with TokenOps.

★ 9,5k estrellasApache-2.0
Ver la guía →
Agentes de IA

NeMo-Agent-Toolkit

NVIDIA's toolkit for connecting, profiling and optimizing teams of AI agents — across any framework

★ 2,7k estrellasApache-2.0
Ver la guía →
// alternativas

Alternativas en Agentes de IA

Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si NemoClaw no es lo que buscas.

// más en agents

Más en Agentes de IA

Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a NemoClaw: sigue explorando a ambos lados.

Consigue NemoClaw

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.