What is NVIDIA NemoClaw — The Complete Enterprise AI Agent Platform Announced at GTC 2026

Overview of NemoClaw Announced at GTC 2026

In March 2026, NVIDIA announced NemoClaw, an enterprise AI agent platform, at its annual developer conference GTC 2026. The defining feature of NemoClaw is that it is provided completely free and open-source, offering a comprehensive toolset for enterprises to build and operate their own AI agent systems. While traditional AI agent tools faced challenges in security and governance, NemoClaw comes standard with enterprise-grade security features, audit logs, and compliance capabilities. Additionally, it adopts a hardware-agnostic design that operates not only on NVIDIA GPUs but also on AMD, Intel, and even CPU-based environments, enabling enterprises to introduce AI agent infrastructure while leveraging existing hardware investments.

Three Core Component Architecture

NemoClaw consists of three main components: NeMo Framework, Nemotron model family, and NIM inference microservices. NeMo Framework provides integrated functionality necessary for AI agent development, including data curation, model customization, agent monitoring, and RAG (Retrieval-Augmented Generation) pipeline construction. The Nemotron model family comprises agent-specialized foundation models, with the latest Nemotron 3 Super featuring 1.2 trillion parameters while activating only 12 billion parameters through Mixture of Experts (MoE) architecture, achieving fast and efficient inference. NIM inference microservices provide containerized API deployment capabilities and enable automatic resource adjustment based on load through elastic scaling.

OpenShell Sandbox for Secure Execution Environment

OpenShell sandbox is implemented as a core security feature of NemoClaw. OpenShell is a mechanism for safely executing AI agents (especially open-source agents like OpenClaw) in an isolated environment, applying the Principle of Least Privilege. Agents are granted only the minimum necessary system resources and network access, preventing unauthorized access to sensitive information and impact on the entire system. Furthermore, a feature called the privacy router controls data flow when agents communicate with external APIs and services, preventing unintended transmission of personal information and corporate secrets externally. This design allows enterprises to utilize AI agents while meeting existing compliance requirements.

NeMo Agent Toolkit v1.5.0 and Multi-Agent Systems

NemoClaw includes NeMo Agent Toolkit v1.5.0, supporting integration with major agent development frameworks such as LangChain, LlamaIndex, CrewAI, Semantic Kernel, and Google ADK. This allows developers to leverage NemoClaw's security and monitoring capabilities while maintaining existing agent development workflows. It also adopts a Supervisor + Worker type multi-agent architecture, providing a mechanism for multiple specialized agents to collaboratively process complex tasks. The Supervisor agent performs task decomposition and coordination, while each Worker agent executes specific subtasks, enabling the construction of scalable and efficient agent systems.

Enterprise Integration and Ecosystem

NemoClaw supports standard integration with major enterprise software vendors such as Salesforce, Cisco, Google, Adobe, and CrowdStrike, enabling seamless integration with existing business systems. For example, it supports diverse use cases including customer service agents utilizing Salesforce CRM data, threat detection agents linked with CrowdStrike security data, and business automation agents integrated with Google Workspace. The audit log functionality records all agent actions, enabling their use in compliance audits and post-incident analysis. The access control feature implements Role-Based Access Control (RBAC), allowing different access permissions to be set for each user or department, addressing organizational governance requirements.

Hardware-Agnostic Design and Deployment Flexibility

One of NemoClaw's key features is its hardware-agnostic design. While NVIDIA's AI tools traditionally assumed NVIDIA GPU environments, NemoClaw operates on NVIDIA, AMD, Intel GPUs, and even CPU-only environments. This allows enterprises to introduce AI agent infrastructure while leveraging existing hardware investments, enabling deployment in diverse environments including cloud (AWS, Azure, Google Cloud), on-premises, and edge devices. The containerization of NIM inference microservices facilitates auto-scaling in Kubernetes environments and integration into microservices architectures, allowing incorporation into DevOps/MLOps workflows.

Relationship with OpenClaw and Future Outlook

NemoClaw is positioned as infrastructure for safely operating open-source AI agent tools, including OpenClaw, in enterprise environments. While OpenClaw possesses powerful command execution capabilities, it had minimal security constraints, posing risks for enterprise use. NemoClaw's OpenShell sandbox provides an environment for wrapping and safely executing such tools, significantly lowering barriers for enterprises to adopt advanced AI agent technology. Since its announcement at GTC 2026, NemoClaw adoption has progressed in heavily regulated industries such as finance, healthcare, and manufacturing, with enterprise utilization of AI agents gaining momentum. Oflight Inc., based in Shinagawa Ward, Tokyo, provides AI agent implementation support and consulting services utilizing NemoClaw, supporting corporate AI adoption from technical and strategic perspectives, primarily serving Shinagawa, Minato, Shibuya, Setagaya, Meguro, and Ota wards.