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Average Ratings 0 Ratings
Description
The Aditya Protocol serves as a control plane for operations that have been reviewed, specifically designed for teams engaging with AI agents, scripts, CI/CD processes, internal tools, and automation that are close to production environments. This innovative solution enables technical teams to request, review, approve, execute, and document crucial operational activities under human supervision, incorporating features such as reviewed command flows, rationale prompts, approval statuses, run histories, artifacts, access-token guidance, node-token guidance, settings controls, and workflows focused on providing evidence. Currently, the Aditya Protocol is available for a limited supervised pilot program involving select trusted technical reviewers and service-provider partners, and it is explicitly not intended as a wide-scale public release, certification tool, legal advisory resource, or a substitute for human operational judgment. As such, the protocol emphasizes the importance of human oversight in all operational processes it facilitates.
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.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Agent Development Kit (ADK)
No
Amazon Bedrock
No
AutoGen
No
Cisco AI Defense
No
CrewAI
No
LangChain
No
LangGraph
No
Mistral NeMo
No
Model Context Protocol (MCP)
No
OpenAI Agents SDK
No
Integrations
Agent Development Kit (ADK)
Yes
Amazon Bedrock
Yes
AutoGen
Yes
Cisco AI Defense
Yes
CrewAI
Yes
LangChain
Yes
LangGraph
Yes
Mistral NeMo
Yes
Model Context Protocol (MCP)
Yes
OpenAI Agents SDK
Yes
Pricing Details
$79/month
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aditya Labs
Founded
2026
Country
United Kingdom
Website
adityaprotocol.com
Vendor Details
Company Name
Agent Control
Country
United States
Website
agentcontrol.dev/