As open-source projects grow, governance becomes a bottleneck. Tracking enhancement proposals across repositories, enforcing deadlines, ensuring process compliance - these don't scale with volunteer maintainers.

Enter the VEP Police Agent - an AI agent built with LangGraph, MCP, and LLMs for KubeVirt, a CNCF project for running VMs on Kubernetes. It autonomously monitors the enhancement proposal lifecycle: discovering proposals across GitHub, tracking compliance in parallel, performing cross-domain risk analysis, and delivering prioritized alerts via Slack and email.

We'll dive into the architecture: a LangGraph state machine with parallel nodes, a two-tier LLM strategy (fast models for MCP tool-calling, powerful models for reasoning), and phase-aware analysis that keeps alerts context-sensitive. A live demo will show the agent catching real governance issues in real time.

While built for KubeVirt, the patterns apply to any project facing governance growing pains.