NemoClaw (also known as Nemo Claw or NVIDIA Claw) is NVIDIA's open-source enterprise AI agent platform announced at GTC 2026 keynote. It adds OpenShell security and privacy guardrails to OpenClaw, enabling safer deployment of AI agents on NVIDIA DGX Spark, DGX Station, RTX PCs, and cloud infrastructure.

Is NemoClaw an OpenClaw alternative?

NemoClaw is not a direct replacement but an enterprise-grade extension of OpenClaw. It adds security controls via NVIDIA OpenShell, role-based access, and audit logging. For those seeking OpenClaw alternatives with better security, NemoClaw is the recommended choice for enterprise deployments.

What hardware does NemoClaw support?

NemoClaw is hardware-agnostic and runs on NVIDIA DGX Station, NVIDIA DGX Spark, GeForce RTX PCs, RTX PRO workstations, AMD GPUs, and Intel GPUs. It supports Nemotron, Nemotron Ultra, Nemotron 3 Super, and models served via vLLM and OpenRouter.

NemoClaw — NVIDIA NemoClaw AI Agent Platform

Name: NemoClaw
Author: NVIDIA

NVIDIA News

Announced at NVIDIA GTC 2026 Keynote

Nemo Claw was officially announced by Jensen Huang at the GTC 2026 keynote in San Jose on March 16, 2026. As reported by Wired and major NVIDIA news outlets, NVIDIA Nemo Claw represents NVIDIA's strategic move into the AI agent software ecosystem.

GTC Keynote 2026: Nemo Claw AI & Nemotron 3 Super

At the NVIDIA GTC 2026 keynote, Jensen Huang announced Nemo Claw alongside Nemotron 3 Super — a 120B-parameter open model optimized for agentic AI workflows. Nemo Claw AI was introduced as NVIDIA's answer to the enterprise security challenges plaguing OpenClaw AI.

The NVIDIA GTC keynote also showcased the new Vera CPU (Vera Rubin architecture), DLSS 5 for graphics, and the NVIDIA DGX Spark personal AI supercomputer — all part of NVIDIA's vision for AI agents everywhere. NVDA stock saw significant movement following the GTC announcements, reflecting investor confidence in NVIDIA's AI agent strategy.

Watch: NVIDIA Announces Nemo Claw at GTC 2026

See Jensen Huang introduce Nemo Claw AI at the NVIDIA GTC 2026 keynote. Learn why NVIDIA built an enterprise-grade OpenClaw alternative with OpenShell security, and how it fits into the broader NVIDIA AI agent stack alongside Nemotron 3 Super, DGX Spark, and Vera Rubin architecture.

Overview

What Is NemoClaw? The NVIDIA AI Agent Platform

NVIDIA Nemo Claw — also known as NVIDIA Claw — is the open-source AI agent platform announced at the NVIDIA GTC 2026 keynote that makes AI agents safer, smarter, and enterprise-ready.

NemoClaw Architecture — Sandboxes, Guardrails, and Private Inference Router

Secure by Design with OpenShell NVIDIA

Built on NVIDIA OpenShell runtime (OpenShell NVIDIA), Nemo Claw AI enforces policy-based privacy and security guardrails at the process level. Control file access, network connections, and data handling for every NVIDIA AI agent — a core differentiator among OpenClaw alternatives.

Run on DGX Station, DGX Spark & RTX

Deploy on NVIDIA DGX Station, NVIDIA DGX Spark, GeForce RTX PCs, RTX PRO workstations — or any AMD and Intel GPU. Nemo Claw is hardware-agnostic but optimized for NVIDIA silicon, including next-gen Vera CPU (Vera Rubin) architecture.

Always-On Nemo Claw AI Agents

Self-evolving AI agents that run 24/7 on dedicated local compute, powered by LPU-optimized inference. They write code, use tools, learn new skills, and complete tasks autonomously — the future of NVIDIA AI agent infrastructure.

Nemo Claw GitHub — Open Source & Community

Fully open source under Apache 2.0 license. Find the code at GitHub NemoClaw (Nemo Claw GitHub). Download, modify, redistribute, and deploy with complete freedom. Community-driven development backed by NVIDIA.

Videos

See Nemo Claw AI in Action

Watch demos, tutorials, and deep dives from the community.

Features & Use Cases

Why Enterprises Choose NemoClaw

Enterprise-grade capabilities — and the real-world scenarios they power.

Nemo Claw Privacy Guardrails

NVIDIA OpenShell sandboxes agents at the process level with policy-based controls on file access, network, and data handling.

Role-Based Access

Enterprise authentication with credential isolation, role-based permissions, and comprehensive audit logging for every agent action.

Deploy Anywhere

NVIDIA DGX Station, NVIDIA DGX Spark, RTX PCs, cloud, or on-prem. One codebase runs everywhere — optimized for NVIDIA but works on AMD and Intel too.

Multi-Agent Orchestration

Coordinate multiple agents working together on complex workflows — from data pipelines to decision-making systems.

NVIDIA Nemo Claw Local Inference

Run Nemotron, Nemotron Ultra, and Nemotron 3 Super locally via vLLM. Connect to Claude, Hugging Face models, or OpenRouter for cloud inference. Authenticate with your NVIDIA API key for governed model access.

Enterprise Integrations

Pre-built connectors for Salesforce, Cisco, Google Cloud, Adobe, CrowdStrike, and more. Plug into your existing enterprise stack.

Nemo Claw Developer APIs

Open AI-compatible API endpoints via NVIDIA NIM. RESTful and gRPC with SDKs for Python, TypeScript, Go, Rust. Works with vLLM and OpenRouter backends.

Observability & Monitoring

Step-level logging, run history, duration tracking, and alerting. Full visibility into every agent decision and action.

AI Agents Across Every Industry

Autonomous Coding

AI agents that write, review, test, and deploy code. Always-on coding assistants that evolve and learn your codebase patterns.

Cybersecurity Operations

Real-time threat detection and automated incident response. Agents that monitor, analyze, and neutralize security threats 24/7.

Healthcare & Life Sciences

Accelerate drug discovery, automate medical imaging analysis, and predict patient outcomes with GPU-powered inference pipelines.

Financial Intelligence

Fraud detection in real time, automated compliance reporting, and market analysis with millisecond-latency inference.

Smart Infrastructure

Predictive maintenance, energy optimization, and intelligent monitoring for cities, factories, and facilities.

Enterprise Automation

Orchestrate complex business workflows across Salesforce, Jira, Slack, and your entire enterprise tool stack.

Get Started

Install Nemo Claw: From Setup to Production in Minutes

Three steps to deploy secure AI agents — then grab the code and go.

Install Nemo Claw

One command installs the entire Nemo Claw stack — OpenShell runtime, security guardrails, and model inference engine. Works on any system with a GPU.

curl -fsSL https://nvidia.com/nemoclaw.sh | bash

Configure NVIDIA API Key & Onboard

Enter your NVIDIA API key, set up OpenShell NVIDIA security policies, and choose your models — Nemotron, Nemotron Ultra, Nemotron 3, Claude, Llama, Mistral, DeepSeek via vLLM or OpenRouter.

nemoclaw onboard

Deploy & Scale Nemo Claw

Launch NVIDIA AI agents with enterprise-grade security baked in. Auto-scales from a single RTX PC to NVIDIA DGX Station or NVIDIA DGX Spark clusters.

nemoclaw deploy --scale auto

Choose Your Installation Method

bash

# Install NemoClaw with one command
$ curl -fsSL https://nvidia.com/nemoclaw.sh | bash

# Onboard and configure your environment
$ nemoclaw onboard

# Verify installation
$ nemoclaw status

Agent Prompt

# Simply ask your AI assistant:

"Help me install nvidia.com/nemoclaw"

# Or use any OpenClaw-compatible agent:

"Set up NemoClaw with Nemotron model
 and enterprise security policies"

NVIDIA Brev Cloud

# Deploy instantly on NVIDIA cloud infrastructure
# Supports H100, A100, A10 GPUs

$ Visit: brev.nvidia.com/launchable/deploy
$ Select GPU: H100 / A100 / A10
$ Click "Deploy Now"

# Or use the CLI:
$ brev deploy nemoclaw --gpu h100

System Requirements

NVIDIA, AMD, or Intel GPU
Python 3.10+
CUDA 12.0+ (for NVIDIA GPUs)
8GB+ VRAM recommended
Linux, macOS, or Windows (WSL2)

Supported Hardware

GeForce RTX RTX PRO DGX Spark DGX Station Cloud GPU

Ecosystem

Nemotron, vLLM & the NemoClaw AI Ecosystem

From Nemotron models to vLLM inference — seamless integration with the tools that power NVIDIA AI agents.

Nemotron

Open AI Models

Nemotron Ultra

Enterprise Reasoning

Nemotron 3 Super

120B MoE Agentic

OpenShell

Secure Runtime

NIM

Inference Microservices

TensorRT

Optimized Inference

vLLM

LLM Serving Engine

Triton

Model Serving

CUDA

GPU Computing

Hugging Face

Model Hub

OpenRouter

Multi-Model API

Nemo Toolkit

Agent Lifecycle

NVIDIA Nemo Claw Partners

Salesforce Cisco Google Cloud Adobe CrowdStrike Hugging Face ServiceNow Perplexity

Comparisons

Nemo Claw vs OpenClaw: AI Agent Alternatives Compared

NemoClaw vs OpenClaw — and how they compare to other AI agent platforms. Here's the full landscape.

Feature	NemoClaw AI	OpenClaw	ZeroClaw	OpenCode
Security Runtime	OpenShell NVIDIA	Community patches	Basic sandbox	None built-in
Enterprise Auth	SSO, RBAC, Audit	Limited	Basic RBAC	None
Model Support	Nemotron, Nemotron Ultra, vLLM, OpenRouter	Multi-model	Limited	Multi-model
Hardware	DGX Station, DGX Spark, RTX, AMD, Intel	Mac Mini+	Any CPU/GPU	Any
License	Apache 2.0	Apache 2.0	MIT	Apache 2.0
Best For	Enterprise & Compliance	Personal / Startup	Lightweight agents	Code generation
Backed By	NVIDIA (NVDA)	OpenAI	Community	Community

Looking for OpenClaw alternatives with enterprise security? Nemo Claw AI is the OpenClaw NVIDIA platform announced at GTC 2026 specifically designed to address OpenClaw AI's security gaps. Unlike ZeroClaw, MoltBook, or OpenCode, Nemo Claw is backed by NVIDIA and integrates directly with the full NVIDIA AI stack including Nemotron 3 Super, vLLM, Hugging Face models, OpenRouter, and LPU-optimized inference for multi-model routing.

Community Insights

What Developers Say About NemoClaw AI

Real questions, real issues, and real solutions from developers deploying NemoClaw AI agents in production — sourced from Discord and Reddit.

What are the minimum system requirements?

NemoClaw officially targets Ubuntu with an NVIDIA GPU and CUDA 12+. Community members have explored Fedora, Mac, and CPU-only setups, but these are not yet fully documented. A dedicated GPU is recommended for local inference; without one, you can route inference to cloud providers like OpenRouter or NVIDIA NIM.

How do I connect OpenAI, Anthropic, or llama.cpp models?

During nemoclaw onboard, select Custom Provider. For OpenAI OAuth, you'll need to approve callback domains (auth.openai.com, chatgpt.com) via openshell term. For Anthropic Claude, create a provider with openshell provider create --name anthropic-prod --type anthropic and set inference accordingly. For llama.cpp, validate connectivity from within the sandbox first using curl.

Why can't my agent access the internet?

By design, OpenShell blocks all outbound traffic until you approve it. Use openshell term → Sandboxes → Rules → [a] Approve for on-the-fly approval. For permanent access, add endpoints to your baseline network policy with nemoclaw my-assistant policy-add or customize via the network policy docs.

How do I update NemoClaw to the latest version?

Currently there is no built-in UI upgrade path. Community members recommend re-running the install script (curl -fsSL https://nvidia.com/nemoclaw.sh | bash) to pull the latest version. Check the GitHub repo for release notes before upgrading.

Do I need to install OpenClaw first?

No. The NemoClaw installer bootstraps its own isolated OpenClaw instance inside a container. You do not need a pre-existing OpenClaw installation — though they can run side-by-side if needed.

Can NemoClaw and OpenClaw run side-by-side?

Yes. NemoClaw runs its own OpenClaw instance in an isolated container, so an existing host-level OpenClaw installation is unaffected. NVIDIA team members confirm you can run them in parallel — the agent experience is largely the same since OpenClaw is the engine either way.

Can I transfer data from OpenClaw to NemoClaw?

Direct data migration is not yet supported. OpenClaw uses a TypeScript/Node.js stack while NemoClaw uses Python/NeMo, so community skills and workflows need to be rebuilt. Start with a non-critical project to validate your setup before migrating production workloads.

What's the recommended migration path?

Step 1: Install NemoClaw alongside your existing OpenClaw.
Step 2: Re-create your most important workflows in NemoClaw.
Step 3: Validate security policies, network access, and model routing.
Step 4: Gradually shift traffic/tasks to NemoClaw.
Step 5: Decommission OpenClaw once confident.

Will my OpenClaw skills work in NemoClaw?

Not directly. OpenClaw community skills cannot be reused as-is due to the different runtime architecture. However, NemoClaw's enterprise integrations (Salesforce, Cisco, Google Cloud, etc.) cover many common use cases out of the box. For custom skills, you'll need to rebuild them using NemoClaw's plugin system.

Is NemoClaw worth it if I'm happy with OpenClaw?

If you're a solo developer or startup without strict compliance needs, OpenClaw may be sufficient. NemoClaw's value shines for teams that need enterprise auth, audit logging, network policy controls, and NVIDIA-backed support. Evaluate based on your security and governance requirements.

FAQ

NemoClaw FAQ: NVIDIA Nemo Claw Questions Answered

Everything you need to know about NVIDIA Nemo Claw, Nemo Claw AI, and the GTC 2026 launch.

Nemo Claw (also called NVIDIA Claw, or Nemo Claw AI) is NVIDIA's open-source enterprise AI agent platform announced at the NVIDIA GTC 2026 keynote. Built on top of OpenClaw, Nemo Claw adds enterprise-grade security controls via OpenShell NVIDIA, role-based access, audit logging, and pre-built enterprise integrations. It's the leading OpenClaw alternatives choice for enterprise deployments that require compliance and security.

Nemo Claw was officially announced at the NVIDIA GTC 2026 keynote on March 16, 2026, in San Jose. Jensen Huang presented it alongside Nemotron 3 Super and other NVIDIA news during the GTC keynote 2026. The announcement was covered by Wired, The Register, and other major tech outlets. NVDA stock responded positively to the GTC 2026 announcements.

Yes. Nemo Claw is released under the Apache 2.0 license. The Nemo Claw GitHub repository is available at github.com/NVIDIA/NemoClaw. You can download, use, modify, and redistribute the code freely. The underlying Nemo framework and Nemotron models have their own licensing terms, so enterprises should verify the full licensing chain for their use case.

Yes. Nemo Claw is optimized for NVIDIA DGX Station, NVIDIA DGX Spark (the personal AI supercomputer announced at GTC 2026), GeForce RTX PCs, and RTX PRO workstations. It's also hardware-agnostic and runs on AMD and Intel GPUs. Nemo Claw evaluates available compute resources to run models like Nemotron and Nemotron Ultra locally for maximum privacy. Future Vera CPU (Vera Rubin architecture) support is planned.

OpenShell (OpenShell NVIDIA) is an open-source runtime that sandboxes AI agents at the process level. It enforces policy-based controls on file access, network connections, and data handling. Features include role-based access control, credential isolation, comprehensive audit logging, interactive approval for new outbound connections, and confidential computing for sensitive data.

Nemo Claw is both built on OpenClaw and serves as the leading OpenClaw alternatives choice for enterprise use. While OpenClaw AI remains a great choice for personal and startup projects, Nemo Claw addresses its security gaps — OpenClaw had ~900 malicious skills and 135K exposed instances. If you're evaluating OpenClaw alternatives like ZeroClaw, MoltBook, or OpenCode, Nemo Claw is the NVIDIA-backed option with enterprise-grade security.

Migration involves a technology stack shift from TypeScript/Node.js (OpenClaw) to Python/NeMo (Nemo Claw). OpenClaw's community skills cannot be directly reused — you'll need to rebuild workflows using Nemo Claw's enterprise integrations. We recommend piloting on a non-critical project first. Nemo Claw integrates with Hugging Face models and OpenRouter for multi-model flexibility during migration.

Nemo Claw supports a wide range of models through NVIDIA NIM inference and vLLM serving. The primary models include NVIDIA Nemotron, Nemotron Ultra (for advanced reasoning), and Nemotron 3 Super — a 120B-parameter flagship model with hybrid MoE architecture. It also supports Claude, DeepSeek-R1, Llama 3.3, Mistral, and any model available through Hugging Face or OpenRouter. Authenticate with your NVIDIA API key for Nemotron 3 access via NIM. The privacy router connects to both local and cloud-based models.

Nemo Claw is part of NVIDIA's broader GTC 2026 announcements. While DLSS 5 focuses on graphics rendering and the Vera CPU (Vera Rubin architecture) represents next-gen CPU design, Nemo Claw targets the AI agent software layer. Together with NVIDIA DGX Spark, DGX Station, Nemotron 3 Super, and Nemotron Ultra, they form NVIDIA's complete AI infrastructure vision — from silicon (Vera Rubin) to software (Nemo Claw) to models (Nemotron). NVDA stock reflected the market's positive response to this integrated strategy.

Nemo Claw differs from other AI agent platforms in its enterprise security focus and NVIDIA backing. ZeroClaw offers lightweight agent sandboxing but lacks enterprise authentication. MoltBook focuses on developer productivity but without security guardrails. Perplexity Computer provides AI-powered computing but targets consumer use. Nemo Claw is uniquely positioned as the enterprise-grade, open-source AI agents platform with full NVIDIA AI stack integration — backed by NVIDIA (NVDA) and announced at GTC 2026.

NVDA stock saw positive momentum following the Nemo Claw announcement at GTC 2026, reflecting investor confidence in NVIDIA's expansion from hardware into the AI agent software ecosystem. Analysts noted that Nemo Claw's open-source approach — combined with Nemotron 3 Super and enterprise partnerships — positions NVIDIA to capture value across the entire AI agents stack, not just GPU sales. This NVIDIA news was seen as strategically significant for NVDA stock's long-term outlook.

NVIDIA Nemo Claw AI: Safer AI Agents, One Command