What is NemoClaw? NVIDIA's Enterprise AI Agent Security Framework Explained

What is NemoClaw?

NemoClaw is NVIDIA's open-source enterprise AI agent platform, announced at GTC 2026 in San Jose and released in alpha on March 16, 2026. It provides the security and governance layer that makes it safe to run AI employees inside enterprise infrastructure — on-prem, policy-governed, with no data leaving your servers.

NemoClaw is not a deployment service. It is a framework and runtime standard — specifically, it provides **OpenShell**, the sandbox runtime that governs how AI agent sessions access files, networks, and inference services. When combined with OpenClaw (the AI agent gateway), NemoClaw becomes the security and governance layer that enterprise IT teams and CTOs need to approve AI employee deployment.

Why NemoClaw matters: Jensen Huang at GTC 2026

At GTC 2026, NVIDIA CEO Jensen Huang framed the enterprise AI agent security problem directly: *"AI agents inside your corporate network can access sensitive info, execute code, and communicate externally. Just say that out loud."*

This is the enterprise security case in one sentence. An AI employee that can read files, call APIs, send messages, and run code is powerful — and potentially dangerous without proper governance. NemoClaw is the answer to that governance problem.

The OpenShell runtime: how NemoClaw governs AI employees

NemoClaw's core component is OpenShell — a policy-governed runtime that runs each AI agent session in a managed sandbox. The sandbox is controlled by declarative policy files that specify exactly what each AI employee can and cannot do:

**Filesystem access** — which directories the AI employee can read from and write to. A Finance Ops employee can access /finance-data but not /hr-data or /engineering.

**Network egress** — which external endpoints the AI employee can call. A Loan Ops employee can reach the KYC API and the loan management system, and nothing else. All other outbound connections are blocked.

**Inference access** — which AI models the agent can use, and whether external AI APIs (OpenAI, Anthropic) are permitted. In production enterprise deployments, inference runs on-prem using Nemotron models — no data sent externally.

The policy files are written in a declarative YAML format and are version-controlled, auditable, and reviewable by IT security teams. This is the difference between policy as a claim and policy as code.

Nemotron and Cosmos: on-prem AI models

NemoClaw ships with two NVIDIA open-weight model families for on-prem inference:

**Nemotron** — reasoning models designed for enterprise tasks. Nemotron-70B-Instruct is the primary model for AI employee decision-making, tool use, and response generation. Running on-prem means inference data never leaves your servers.

**Cosmos** — planning models designed for autonomous, multi-step workflows. AI employees that need to plan a sequence of actions across multiple systems use Cosmos for the planning layer.

Both model families are open-weight, meaning they can be downloaded and run on any server — no NVIDIA GPU required, no API subscription, no data sent to NVIDIA.

NemoClaw is hardware agnostic

A common misconception: NemoClaw does not require NVIDIA GPUs. It runs on any Linux server — GCP, AWS, Azure, on-prem bare metal, or even a well-specced workstation. The Nemotron and Cosmos models can run on CPU (slowly) or GPU (faster), but the choice of hardware is yours.

For most Indian enterprise deployments, a standard GCP Cloud Run instance or AWS EC2 instance is sufficient for the initial AI employee workforce. GPU instances are optional and become relevant at higher inference volume.

NemoClaw's enterprise partner ecosystem

At GTC 2026, NemoClaw was launched with enterprise partner integrations from Adobe, Salesforce, SAP, Cisco, and Google. This validates the framework as enterprise-grade and signals that the major enterprise software vendors are building NemoClaw-compatible integrations. For Indian enterprises, SAP integration is particularly relevant for ERP workflows.

How NemoClaw and OpenClaw work together

OpenClaw is the AI agent runtime. NemoClaw's OpenShell is the sandbox backend. When OpenClaw is configured with OpenShell as the sandbox backend, every AI employee session runs inside an OpenShell-managed sandbox with full NemoClaw policy governance.

The integration works as follows: OpenClaw starts a new agent session → OpenShell initialises the sandbox with the role-specific policy file → the agent runs with constrained file access, network egress, and inference access → every action is logged → the session ends and the sandbox is torn down. The policy file is the contract between the agent and the enterprise.

Why Agentex uses NemoClaw for every enterprise deployment

Agentex uses OpenClaw + NemoClaw as the standard deployment stack because it is the only combination that satisfies enterprise IT governance requirements: on-prem inference, declarative policy governance, audit logging, and hardware agnosticism — all in one integrated stack.

We write and maintain the NemoClaw policy files for every AI employee role we deploy. The policy files are delivered to the client at the end of the sprint and remain version-controlled in the client's repository.

Agentex vs platform vendors: the managed deployment difference

Many enterprise AI platforms position themselves as governance-ready studios where your team configures agents. That is a valid model for enterprises with internal AI engineering capacity. Agentex is a different model: we deploy and operate AI employees for enterprises that want outcomes, not tools to configure. The difference is who does the work. With a platform-led model, your team configures, monitors, and maintains. With Agentex, we do. That is the managed deployment partner model — and it is what makes the 2-week sprint timeline possible.

The result: a board-level trust signal (NVIDIA NemoClaw), a technically verifiable security posture (policy files you can read and audit), and a deployment that your IT governance team can approve.

Book an AI Workforce Audit at agentex.in to deploy your first NemoClaw-secured AI employee.