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Description
Agent Control represents a groundbreaking open-source framework designed to manage the behavior of AI agents on a large scale, setting a new benchmark for governance in this domain. It addresses the issue of disjointed and hardcoded checks by providing teams with a unified governance layer that enforces regulations at each step, all managed from a single control interface that can be updated dynamically without altering the agent's underlying code. Developers can easily designate any function as governable by applying the control() decorator, thereby transforming key decision points within an agent into independently regulated control points, each equipped with its own governance policies. When a decorated function runs, Agent Control assesses the input or output against the prevailing policy and generates a response that could be to deny, steer, warn, log, or allow the action. If a denial occurs, the SDK triggers a ControlViolationError, preventing any unsafe actions from being executed. This separation of policies from the actual code empowers developers to strategically position control hooks, while policy teams determine the enforcement specifics of those hooks, ensuring a collaborative approach to governance. The flexibility and robustness of Agent Control make it an invaluable tool for organizations looking to standardize AI agent governance effectively.
Description
Gentoro is a comprehensive platform designed to enable enterprises to effectively harness agentic automation by seamlessly integrating AI agents with existing real-world systems in a secure and scalable manner. It operates on the Model Context Protocol (MCP), which empowers developers to effortlessly transform OpenAPI specifications or backend endpoints into production-ready MCP Tools, eliminating the need for manual integration coding. The platform efficiently addresses runtime challenges such as logging, retries, monitoring, and cost management, while simultaneously ensuring secure access, audit trails, and governance policies, including OAuth support and policy enforcement, regardless of whether it is deployed in a private cloud or an on-premises environment. Notably, Gentoro is model- and framework-agnostic, allowing for flexibility in integrating various large language models (LLMs) and agent architectures. This versatility aids in preventing vendor lock-in and streamlines the orchestration of tools within enterprise settings, as it manages tool generation, runtime operations, security measures, and ongoing maintenance all within a single integrated stack. By providing a unified solution, Gentoro enhances operational efficiency and simplifies the journey toward automation for businesses.
API Access
Has API
API Access
Has API
Integrations
CrewAI
LangChain
Model Context Protocol (MCP)
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
Claude
Gemini
Gemini Enterprise
Integrations
CrewAI
LangChain
Model Context Protocol (MCP)
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
Claude
Gemini
Gemini Enterprise
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Agent Control
Country
United States
Website
agentcontrol.dev/
Vendor Details
Company Name
Gentoro
Founded
2024
Country
United States
Website
www.gentoro.com