Agent Control

Description

Agent Control is an open-source control plane designed to manage AI agents by providing centralized governance and runtime policy enforcement. Developed by Galileo Technologies, Inc., it allows organizations to control AI agent behaviors at runtime using centralized policies. This tool is particularly beneficial for ensuring safety, security, and compliance across large fleets of AI agents.

Traditional guardrails are often hard-coded and rigid, making them difficult to adapt to new challenges. Agent Control addresses this by offering a shared policy language and control hooks that provide step-level granularity. This allows organizations to block or steer agent behavior according to unique policies, validating outputs and tool calls in real-time.

One of the key features of Agent Control is its ability to mix and match guardrails from different providers, such as AWS Bedrock and Cisco AI Defense, or to add custom guardrails. The tool also offers audit logs to capture complete traces of agent workflows, providing transparency and accountability.

Agent Control is designed for easy integration with any agent or platform through a simple decorator function. This enables users to write policies once and deploy them everywhere, ensuring consistency and reducing deployment overhead. The tool supports a growing list of frameworks, including LangChain, Google ADK, and OpenAI Agents SDK.

As an open-source project under the Apache 2.0 license, Agent Control is vendor-agnostic, allowing users to host it in their environment for low-latency and security. This flexibility helps avoid vendor lock-in and encourages a collaborative ecosystem around agent governance.

Agent Control's Core Features

• Centralized runtime policy enforcement

• Step-level granularity for agent control

• Mix and match guardrails from various providers

• Audit logs for complete workflow traces

• Easy integration with a simple decorator function

• Open-source under Apache 2.0 license

• Vendor-agnostic and customizable

• Supports multiple frameworks and platforms

How to use Agent Control?

1. 1

   Configure: Set up centralized policies

2. 2

   Integrate: Use the SDK with your agents

3. 3

   Deploy: Implement policies across agent fleets

4. 4

   Monitor: Use audit logs for workflow transparency

Agent Control's Use Cases

• Centralized Governance
• Security Compliance
• Real-time Monitoring
• Custom Guardrails
• Vendor Agnostic

FAQ from Agent Control

• What is Agent Control?

  Agent Control is an open-source control plane for AI agents, providing centralized governance and runtime policy enforcement.

• How does Agent Control ensure agent safety?

  It uses centralized policies and step-level granularity to block or steer agent behavior, ensuring compliance and security.

• Can I integrate Agent Control with my existing platforms?

  Yes, it supports easy integration with a simple decorator function and works with various frameworks.

• Is Agent Control open-source?

  Yes, it is open-source under the Apache 2.0 license, allowing for customization and avoiding vendor lock-in.

• What frameworks does Agent Control support?

  It supports frameworks like LangChain, Google ADK, and OpenAI Agents SDK.

• How does Agent Control handle policy updates?

  Policies can be updated without downtime, allowing for real-time adjustments to agent behavior.

• What is the pricing model for Agent Control?

  Agent Control is available for free as it is an open-source tool.

• Who maintains Agent Control?

  Agent Control is maintained by Galileo Technologies, Inc.