Related Products
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About
Agent Control is the open source control plane for AI agents, built to establish a new standard for governing agent behavior at scale. It solves the problem of scattered, hardcoded checks by giving teams a centralized governance layer with step-level enforcement that can be managed from a single control plane and updated in real time without touching agent code. Developers can make any function governable by adding the control() decorator, turning meaningful decision points inside an agent into independently governed control points with their own policies. When a decorated function executes, Agent Control evaluates the input or output against the active policy and returns a decision: deny, steer, warn, log, or allow. If the decision is denied, the SDK raises a ControlViolationError before the unsafe action can proceed. Policies are decoupled from code, so developers decide where to place control hooks while policy teams decide what those hooks enforce.
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About
NVIDIA Open Agent Safety Platform is an open reference design for continuously monitoring and governing AI agent behavior, helping organizations keep agents isolated, observable, auditable, and within defined operational boundaries. It combines runtime governance, continuous threat detection, and hardware-isolated policy enforcement to secure enterprise AI agents from testing through deployment. NVIDIA OpenShell provides an open-source runtime that separates how agents execute from how they reach data, tools, and external systems, using sandboxed execution and deterministic, zero-trust policy enforcement to control what agents can see, do, and interact with. Policies are enforced outside the agent process, helping limit the impact of unexpected behavior. NVIDIA Sentry adds an independent security layer that observes agent requests and responses, establishes verifiable agent identities, continuously governs access to data, tools, APIs, and services, and can quarantine agents.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
AI engineering and platform teams that need centralized, open source runtime governance for production agent fleets
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Audience
Enterprises, AI developers, platform teams, and security teams seeking to securely deploy and govern AI agents with runtime controls, monitoring, isolation, and zero-trust policy enforcement
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
|
Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAgent Control
United States
agentcontrol.dev/
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/solutions/ai/agent-safety/
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Agent Development Kit (ADK)
Supported
Amazon Bedrock
Supported
AutoGen
Supported
Cisco AI Defense
Supported
CrewAI
Supported
LangChain
Supported
LangGraph
Supported
Mistral NeMo
Supported
Model Context Protocol (MCP)
Supported
NVIDIA DOCA
Not Supported
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Integrations
Agent Development Kit (ADK)
Not Supported
Amazon Bedrock
Not Supported
AutoGen
Not Supported
Cisco AI Defense
Not Supported
CrewAI
Not Supported
LangChain
Not Supported
LangGraph
Not Supported
Mistral NeMo
Not Supported
Model Context Protocol (MCP)
Not Supported
NVIDIA DOCA
Supported
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