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NemoClaw - NVIDIA's open-source enterprise-grade AI agent framework

NemoClaw is an open-source enterprise-grade AI agent framework from NVIDIA. Running as a plugin for OpenClaw, NemoClaw provides a security sandbox and policy engine through the OpenShell runtime, addressing security concerns for enterprises using AI agents.

What is NemoClaw?

NemoClaw is an open-source enterprise-grade AI agent framework from NVIDIA. Running as a plugin for OpenClaw, NemoClaw provides a security sandbox and policy engine through the OpenShell runtime, addressing security concerns for enterprises using AI agents. NemoClaw integrates the Nemotron open-source model to support local inference and can also privately route calls to large cloud models. NemoClaw is compatible with GeForce RTX, RTX PRO workstations, and DGX series hardware, helping enterprises embrace the GaaS (Agent as a Service) era for security.

Main functions of NemoClaw

  • Safety SandboxIt supports providing an isolated environment for agents through the OpenShell runtime, equipped with a policy engine to control access permissions and prevent the leakage of sensitive information.
  • Mixed reasoningThe built-in Nemotron model supports local processing of daily tasks, while complex needs can be addressed by calling large cloud models through privacy routing.
  • Hardware bondingDeeply compatible with GeForce RTX, RTX PRO workstations and DGX series devices, supporting stable operation 24/7.
  • OpenClaw compatibleIt runs as a plugin rather than a replacement, retaining file access and code execution capabilities while adding enterprise-level security controls.
  • GaaS EmpowermentHelping enterprises securely transform to an Agentic as a Service model by renting out AI agents that can autonomously complete tasks.

Key information and usage requirements of NemoClaw

  • Release time: GTC conference in March 2026, currently in the Alpha stage.
  • Hardware RequirementsSupports NVIDIA hardware platforms such as GeForce RTX PCs/laptops, RTX PRO workstations, DGX Stations, and DGX Sparks.
  • Software RequirementsOpenClaw needs to be installed first and run as a plugin.
  • Core Functions: Secure sandbox isolation, local Nemotron inference, cloud-based privacy routing.
  • Applicable toFor enterprise users with security and compliance requirements, a stable 24/7 operation scenario is needed.
  • Key selling pointsEnabling enterprises to confidently use OpenClaw and securely embrace the GaaS era.

NemoClaw's core advantages

  • Safe and controllableBy providing an enterprise-grade security sandbox through the OpenShell runtime, it addresses three major risks of Agent access to sensitive data, code execution, and external communication, enabling enterprises to confidently use AI Agents.
  • Mixed reasoningThe local Nemotron model handles daily tasks to ensure security, while cloud-based routing calls to cutting-edge models ensure capabilities, balancing privacy and performance.
  • Hardware bondingIt is deeply compatible with NVIDIA's full range of hardware, enabling stable operation 24/7 and unlocking the value of enterprise-level computing power.
  • Eco-compatibleAs a non-replacement for the OpenClaw plugin, it retains the original capabilities while adding a security layer, reducing migration costs.
  • Commercial valueHelping businesses transition from SaaS to GaaS (Agent as a Service), renting out agents that can work independently, and opening up new revenue models.

How to use NemoClaw

  • Installation prerequisitesYou need to install OpenClaw first, and NemoClaw will run as a plugin for it.
  • Visit the official websiteVisit the NemoClaw website: https://www.nvidia.com/en-us/ai/nemoclaw/.
  • Deployment methodInstallation can be completed with a single command, integrating OpenClaw into NVIDIA's hardware and software ecosystem.
  • Operating environmentSupports NVIDIA hardware platforms such as GeForce RTX PCs/laptops, RTX PRO workstations, DGX Stations, and DGX Sparks.
  • Configuration pointsThe system automatically installs the Nemotron open-source model as the local inference engine, and daily tasks do not require an external network; when more powerful capabilities are needed, it calls cutting-edge models in the cloud through privacy routing.
  • Security SettingsThe built-in OpenShell runtime automatically provides a security sandbox and policy engine to control agent access permissions without requiring additional configuration.

NemoClaw project address

  • Project official websitehttps://www.nvidia.com/en-us/ai/nemoclaw/
  • GitHub repositoryhttps://github.com/NVIDIA/NemoClaw

NemoClaw's Competitive Product Comparison

Comparison items NemoClaw OpenClaw JVS Claw (Alibaba)
Product Positioning Enterprise-level security plugins Open source personal agent Enterprise-grade Agent Platform
Security Mechanism OpenShell Sandbox + Policy Engine No native enterprise security Unclear
Operating mode OpenClaw Plugin Independent operation Independent Platform
Hardware bonding Deeply integrated with the NVIDIA ecosystem No hardware requirements running in the cloud
Reasoning framework Local Nemotron + Cloud Router Dependence on external models Unclear
Target users Enterprise users individual developers Enterprise users
Core advantages Full-stack vertical integration, 35x performance improvement Open and flexible, community ecology Domestic available, free quota
Current stage Alpha Mature open source Invitation code beta test

Application Scenarios of NemoClaw

  • Smart office for enterprisesThe tool can securely process internal documents, automatically generate reports, and intelligently reply to emails, ensuring that sensitive data does not leave the internal network.
  • Financial data analysisIt supports local inference processing of transaction data, and privacy routing calls cloud models for risk assessment to meet compliance requirements.
  • Code development assistanceThe tool can automatically program, debug, and review code 24/7, and securely execute code to prevent internal network penetration.
  • Customer service automationSupports the deployment of intelligent customer service agents, which can autonomously handle inquiries, dispatch work orders, and conduct external communications, thereby reducing labor costs.
  • Accelerating scientific computingGroq LPU accelerates the generation of high-value engineering tokens by working with the DGX supercomputing system for large-scale AI inference.