A model registry is a centralized system for tracking and managing AI models throughout their lifecycle — from development and experimentation through staging to production deployment and retirement. It stores model versions, training metadata, performance metrics, approval status, and deployment history. MLflow Model Registry, AWS SageMaker Model Registry, and Vertex AI Model Registry are popular implementations. A model registry is critical for governance and compliance, ensuring organizations know exactly which model version is serving which business process.