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What is NVIDIA OpenShell?

NVIDIA OpenShell is an open and secure runtime environment tailored for the operation of autonomous AI agents, managing their execution, access privileges, and the routes for inference traffic. Rather than incorporating security measures directly into the model or application, it upholds safety protocols in the surrounding infrastructure, ensuring that nothing is permitted by default; permissions are allocated through predefined policies, with enforcement mechanisms acting outside the agent's process to avert any potential bypass through prompts. Each autonomous agent is confined within a controlled sandbox, which limits direct network access, restricts file visibility, and employs kernel-level monitoring of system calls to guarantee stringent oversight. Serving as the control plane, a gateway handles user authentication, manages the lifecycle of sandboxes, and provides the agents with policies, configurations, credentials, and settings for inference. Furthermore, an external supervisor evaluates network requests based on policies at multiple levels—including binary, destination, method, and path—and grants access to credentials only when expressly authorized, thereby bolstering the overall security architecture. This comprehensive and layered framework ensures that the agents operate efficiently while upholding strict security measures throughout their processes, ultimately fostering a trustworthy environment for AI interaction. The attention to detail in security design reflects a commitment to safeguarding both the agents and the systems they interact with.

What is AgentFox?

AgentFox is an open-source control plane tailored for the creation and oversight of AI agents. It methodically organizes agent repositories while establishing a connection between agents, tools, MCP servers, skills, and handoffs, all without executing code. For the frameworks it accommodates, it upholds tool-access policies, verifies tool arguments against set thresholds, and possesses the ability to suspend or reject actions until human review is conducted. Runtime assessments evaluate the interactions between models and tools to identify possible prompt injection threats and the risk of exposing confidential or personal data. Furthermore, AgentFox can function in observation mode before implementing enforcement measures, and it carefully records policy decisions in a hash-linked audit trail. Developers can choose to install AgentFox via Python or deploy it through a Docker Compose stack, making it versatile for different environments. Its target audience comprises engineering and security teams that seek thorough visibility, control mechanisms, and reliable documentation for managing AI agent activities. Released under the Apache-2.0 license, AgentFox also provides a hosted preview for potential users. This feature enhances accessibility for teams striving to improve their AI workflows with effective management solutions, ultimately supporting better collaboration and security in AI development.

Media

Media

Integrations Supported

Globster
NVIDIA Open Agent Safety Platform

Integrations Supported

Model Context Protocol (MCP)

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0
Self-hosted software is free under Apache-2.0. The hosted preview is free while in preview; paid plans are not yet priced.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/ai/openshell/

Company Facts

Organization Name

Nometria Inc

Date Founded

2025

Company Location

United States

Company Website

useagentfox.com

Categories and Features

Agentic AI

Not specified

Categories and Features

AI Agent Security

Not specified

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