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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
Trase is a regulated AI platform designed for sectors like healthcare, government, and enterprise, where trust, security, sovereignty, and predictability are paramount. It offers a robust infrastructure for the deployment of AI agents within actual workflows, featuring a multitude of specialized agents that are ready for immediate production use, along with the necessary systems to maintain oversight on every workflow, decision, and escalation. The operational backbone for these agents is Trase Origin, an operating system specifically engineered to manage, secure, and govern agents across various environments including cloud, on-premises, VPC, and edge, all while ensuring data remains in its original location. Within a unified control plane, Trase and third-party agents benefit from shared policy enforcement, comprehensive monitoring, cost management, defined escalation procedures, and a complete, immutable audit trail. Additionally, it enables deployments that comply with HIPAA and SOC2 standards, while ensuring data residency, privacy, model adaptability, and freedom from vendor lock-in. This multifaceted approach allows organizations to effectively leverage AI while adhering to stringent regulatory requirements.
API Access
Has API
API Access
Has API
Integrations
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
CrewAI
LangChain
LangGraph
Mistral NeMo
Model Context Protocol (MCP)
OpenAI Agents SDK
Integrations
Agent Development Kit (ADK)
Amazon Bedrock
AutoGen
Cisco AI Defense
CrewAI
LangChain
LangGraph
Mistral NeMo
Model Context Protocol (MCP)
OpenAI Agents SDK
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
Trase
Founded
2023
Country
United States
Website
www.trase.ai/
Product Features
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Alternatives
Alternatives
No Alternatives