agentcontrol/agent-control

Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.

41
/ 100
Emerging

Agent Control helps developers manage the behavior of their AI agents by enforcing security and compliance rules. You provide your agent's code, and Agent Control filters its inputs and outputs, blocking things like sensitive data leakage or harmful instructions. This tool is designed for AI/ML engineers and MLOps teams who deploy and manage multiple AI agents in production.

116 stars.

Use this if you need a centralized way to apply and update security guardrails for your production AI agents without modifying their core code.

Not ideal if you are a data scientist building an agent for local experimentation and do not require centralized policy enforcement or production-grade controls.

AI-safety MLOps agent-governance AI-security responsible-AI
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 11 / 25
Community 10 / 25

How are scores calculated?

Stars

116

Forks

8

Language

Python

License

Apache-2.0

Last pushed

Mar 13, 2026

Commits (30d)

0

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