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.
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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.
- CategoryAI Agent Builders
- Pricing ModelFree
- DeploymentCloud
- PlatformsMultiple
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?
Configure: Set up centralized policies
Integrate: Use the SDK with your agents
Deploy: Implement policies across agent fleets
Monitor: Use audit logs for workflow transparency
Agent Control's Use Cases
- Centralized Governance
- Security Compliance
- Real-time Monitoring
- Custom Guardrails
- Vendor Agnostic
