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NVIDIA OpenShell Review

NVIDIA OpenShell is an open-source, secure runtime for autonomous agents and a photorealistic, physics-based simulation platform for training AI models and robots.

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NVIDIA OpenShell — product screenshot

Why it matters

1NVIDIA OpenShell is an open-source, secure-by-design runtime for autonomous AI agents.
2It provides kernel-level isolation and policy enforcement via declarative YAML configurations.
3Announced at GTC 2026, it is a core component of the NVIDIA Agent Toolkit.
4By June 2026, OpenShell expanded OS support to Microsoft Windows, Red Hat OpenShift, and Canonical Ubuntu.

About NVIDIA OpenShell

Headquarters
Santa Clara, USA
Founded
1993
Funding
Public
Platforms
Web, API
Target Audience
Developers, AI Researchers, and Engineers

Leadership

Jensen HuangCEO
Chris MalachowskyCo-founder
Curtis PriemCo-founder

overview

What is NVIDIA OpenShell?

NVIDIA OpenShell is a secure runtime for autonomous AI agents tool developed by NVIDIA that enables developers, enterprises, security teams, and compliance teams to securely execute autonomous AI agents within sandboxed environments. It provides kernel-level isolation and enforces explicit controls through declarative YAML policies to manage access to files, networks, and credentials. OpenShell also functions as a photorealistic, physics-based simulation platform for training AI models and robots, addressing the inherent security risks of AI agents needing broad access to system resources.

features

Key Features of NVIDIA OpenShell

NVIDIA OpenShell provides a robust set of features designed to ensure the secure and controlled execution of autonomous AI agents within diverse environments.

  • Open-source runtime for autonomous AI agents.
  • Secure-by-design architecture with kernel-level isolation.
  • Individual agent sandboxes for isolated execution.
  • Policy enforcement engine using declarative YAML configurations.
  • Support for Linux Landlock LSM and container-level isolation.
  • Integration with NVIDIA Agent Toolkit and NemoClaw.
  • Expanded OS support for Microsoft Windows, Red Hat OpenShift, and Canonical Ubuntu.
  • Integration with enterprise security partners including Cisco, CrowdStrike, Google Cloud, Microsoft Security, and TrendAI.
  • Photorealistic, physics-based simulation platform for AI training and robotics.

use cases

Who Should Use NVIDIA OpenShell?

NVIDIA OpenShell is designed for various stakeholders involved in the development, deployment, and security of autonomous AI agents, offering specific benefits for each.

  • Developers: For running AI agents such as Claude Code, OpenCode, Codex, or GitHub Copilot CLI with constrained file and network access, enabling secure experimentation.
  • Enterprises deploying AI agents: For secure agent experimentation and private enterprise development, enforcing security policies at the execution layer for AI agent deployments, including multi-tenant setups.
  • Security teams: For treating policy YAML files as version-controlled security controls that can be reviewed and audited, ensuring a zero-trust approach to agent security.
  • Compliance teams: For ensuring AI agent deployments adhere to organizational security protocols and data governance requirements through explicit policy enforcement.
  • AI Researchers and Engineers: For robotics simulation and AI training within a secure, physics-based environment, preventing agents from having unrestricted access to local files or networks.

how to use

How to Use NVIDIA OpenShell

NVIDIA OpenShell is utilized by integrating it into AI agent workflows to provide a secure execution environment. Users define explicit policies to govern agent behavior and resource access.

  • 1Download and install the NVIDIA OpenShell runtime on the target operating system (e.g., Windows, Red Hat OpenShift, Ubuntu).
  • 2Define security policies for AI agents using declarative YAML files, specifying allowed file access, network connections, and credential usage.
  • 3Configure agent execution environments to utilize OpenShell's sandboxing and kernel-level isolation features.
  • 4Launch AI agents within the OpenShell environment, ensuring that all actions are subject to the defined security policies.
  • 5Monitor agent activity and audit policy enforcement logs to verify compliance and identify potential security violations.
  • 6Integrate OpenShell with existing enterprise security solutions for aligned runtime policy management and enhanced defense-in-depth strategies.

pricing

NVIDIA OpenShell Pricing & Plans

NVIDIA OpenShell is an open-source project and is available for free. There are no associated costs for its core runtime functionality.

  • Free: NVIDIA OpenShell is available for free.

Pros

  • +Provides kernel-level isolation for secure AI agent execution.
  • +Enforces explicit security policies via auditable YAML configurations.
  • +Open-source and secure-by-design runtime for transparency and community contribution.
  • +Supports expanded operating system environments including Microsoft Windows, Red Hat OpenShift, and Canonical Ubuntu.
  • +Integrates with major enterprise security partners for aligned runtime policy management.
  • +Available for free, reducing adoption barriers for developers and enterprises.

Cons

  • −Noted as "alpha software" (version 0.0.11) in its initial March 2026 release, indicating ongoing development.
  • −Initially designed for single-user environments, suggesting potential maturity requirements for large-scale multi-tenant enterprise deployments.
  • −Requires explicit policy definition, which adds an initial configuration overhead for users.
  • −Primarily focuses on infrastructure sandboxing, necessitating complementary tools for operational execution governance (e.g., human-in-the-loop controls).
  • −API availability is currently listed as 'No' according to provided technical specifications.

Similar Tools

NVIDIA OpenShell vs Competitors

NVIDIA OpenShell is positioned as an infrastructure-level sandboxing solution, adopting a zero-trust security model for AI agents. It focuses on isolating agents in highly restricted execution environments, contrasting with tools that primarily offer operational execution governance.

1
Microsoft Agent Governance ToolkitOn Stork

It provides an open-source framework for runtime policy enforcement, identity, and reliability specifically for autonomous AI agents.

Similar to NVIDIA OpenShell, this toolkit focuses on securing AI agent execution at the infrastructure layer through policy enforcement and sandboxing, but it is developed by Microsoft and offers a modular approach to agent governance.

2
BentoRunOn Stork

It offers an open-source, secure sandbox for executing arbitrary Python code for AI agents, leveraging gVisor for robust isolation.

Like NVIDIA OpenShell, BentoRun provides a secure, isolated environment for agent code execution, but it specifically targets Python code and integrates with Google Cloud Run for serverless scalability, focusing on secure code execution rather than a full agent runtime.

3
CrewAIOn Stork

It is an open-source framework for orchestrating multi-agent systems, emphasizing collaboration and safe execution through native sandbox tools.

While NVIDIA OpenShell is a secure runtime infrastructure, CrewAI is a platform for building and orchestrating agents, offering built-in support for safe code execution via sandboxing, making it a functional competitor for secure agent deployment within a multi-agent workflow.

4
Hermes Agent↗

It is an open-source autonomous AI agent designed for persistent memory, automated skill creation, and multi-platform reach, including sandboxed code execution.

Hermes Agent is a self-contained autonomous agent that incorporates sandboxed code execution as a core capability for its operations, providing a secure environment for its own actions, whereas NVIDIA OpenShell is primarily the underlying secure runtime infrastructure for various agents.

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