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See NVIDIA Nemo Claw in Action
Watch demos, tutorials, and deep dives from the community.
Nemo Claw AI is NVIDIA's open-source AI agent platform that adds OpenShell security and privacy controls to OpenClaw. Run always-on, self-evolving AI agents on NVIDIA DGX Spark, DGX Station, RTX PCs, or cloud — powered by Nemotron and vLLM.
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.
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.
After Open AI acquired OpenClaw in February 2026, enterprises faced uncertainty about the platform's independence. OpenClaw NVIDIA integration had security gaps — nearly 900 malicious skills and 135,000 exposed instances. Nemo Claw was NVIDIA's response: an enterprise-grade OpenClaw alternatives leader with OpenShell NVIDIA security baked in from day one. As Wired reported, this positions NVIDIA beyond hardware into the AI agent software layer.
Nemo Claw is part of NVIDIA's broader NVIDIA AI agent toolkit announced at GTC, which includes Nemotron Ultra for reasoning, OpenShell for sandboxing, NIM for inference, and Nemo for agent lifecycle management. Together they form the most comprehensive AI agents infrastructure available — powering everything from Perplexity Computer-style assistants to enterprise automation on DGX Station and NVIDIA DGX Spark.
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.
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.
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.
Self-evolving AI agents that run 24/7 on dedicated local compute. They write code, use tools, learn new skills, and complete tasks autonomously — the future of NVIDIA AI agent infrastructure.
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.
Watch demos, tutorials, and deep dives from the community.
Everything you need to run Nemo Claw AI agents safely at scale.
NVIDIA OpenShell sandboxes agents at the process level with policy-based controls on file access, network, and data handling.
Enterprise authentication with credential isolation, role-based permissions, and comprehensive audit logging for every agent action.
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.
Coordinate multiple agents working together on complex workflows — from data pipelines to decision-making systems.
Run Nemotron, Nemotron Ultra, and Nemotron 3 Super locally via vLLM. Connect to Hugging Face models or OpenRouter for cloud inference. Privacy router ensures data governance.
Pre-built connectors for Salesforce, Cisco, Google Cloud, Adobe, CrowdStrike, and more. Plug into your existing enterprise stack.
Open AI-compatible API endpoints via NVIDIA NIM. RESTful and gRPC with SDKs for Python, TypeScript, Go, Rust. Works with vLLM and OpenRouter backends.
Step-level logging, run history, duration tracking, and alerting. Full visibility into every agent decision and action.
Three steps to deploy secure Nemo Claw AI agents in production.
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
Set up OpenShell NVIDIA security policies, choose your models (Nemotron, Nemotron Ultra, Nemotron 3 Super, Llama, Mistral, DeepSeek via vLLM or OpenRouter), and configure access controls.
nemoclaw onboard
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 preferred installation method.
# Install NemoClaw with one command
$ curl -fsSL https://nvidia.com/nemoclaw.sh | bash
# Onboard and configure your environment
$ nemoclaw onboard
# Verify installation
$ nemoclaw status# 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"# 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 h100See how teams deploy Nemo Claw AI in production environments worldwide — powered by NVIDIA AI agent technology.
AI agents that write, review, test, and deploy code. Always-on coding assistants that evolve and learn your codebase patterns.
Real-time threat detection and automated incident response. Agents that monitor, analyze, and neutralize security threats 24/7.
Accelerate drug discovery, automate medical imaging analysis, and predict patient outcomes with GPU-powered and LPU-accelerated inference pipelines.
Fraud detection in real time, automated compliance reporting, and market analysis with millisecond-latency inference via GPU and LPU compute.
Predictive maintenance, energy optimization, and intelligent monitoring for cities, factories, and facilities.
Orchestrate complex business workflows across Salesforce, Jira, Slack, and your entire enterprise tool stack.
Seamless integration with industry-leading tools and platforms.
How does NemoClaw compare to OpenClaw and other AI agent platforms? Here's the 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.
Start free with open source. Scale with enterprise support.
Full open-source platform for developers and startups.
For teams building production AI agents.
For organizations with compliance and scale requirements.
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 DeepSeek-R1, Llama 3.3, Mistral, and any model available through Hugging Face or OpenRouter. The privacy router can connect 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.
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