ZenML

ZenML is an open-source MLOps framework designed to help teams build, deploy, and manage production-ready machine learning and generative AI workflows. It provides a unified platform to orchestrate complex DAGs, manage state, and handle data passing for both traditional ML models and advanced LLM agents. By abstracting infrastructure and automating critical MLOps tasks, ZenML aims to bridge the gap between data scientists and engineers, enabling faster iteration and deployment. The platform is built to standardize AI workflows, offering features like artifact and environment versioning, smart caching, and automatic containerization to ensure reproducibility and reduce engineering overhead. It integrates with over 60 tools across the AI ecosystem, allowing users to connect their data retrieval, reasoning, and training steps into a cohesive system. ZenML is suitable for teams looking to move beyond prototype-level AI projects to scalable, governed, and secure production deployments, offering both an open-source foundation and enterprise control options.