Unify technical context, business semantics, and organizational memory into one context graph — so AI agents and humans reason from the same trusted foundation. Built by the founders of Apache Hadoop, Apache Atlas, and Uber Databook.

Driven by an active community of thousands globally, OpenMetadata is becoming the standard open context layer for data and AI.

OpenMetadata builds a living knowledge graph of your data — what it means, how it connects, and whether it can be trusted. Context drawn from data assets, documents, and organizational policies flows into a single Semantic Context Graph, giving both people and AI agents the shared understanding they need to work on your data.

OpenMetadata's schema-first architecture — with 700+ open specifications in JSON Schema and RDF/JSON-LD — makes metadata programmable and extensible. Plug into your existing stack, customize your metadata model, and build data and AI workflows that scale with your organization.

The streamlined architecture has only four system components, making it easier to deploy, operate, and upgrade compared to other solutions. The simple user experience is designed for technical and non-technical users to collaborate together, while still having robust data practitioner capabilities, all built to meet the scalability and security requirements of enterprises.
AI agents are only as good as the data they act on. OpenMetadata's Semantic Context Graph gives every agent the context it needs — what a dataset means, where it came from, and whether it can be trusted — accessible with a native MCP server and AI SDK.

OpenMetadata's ingestion framework supports connectors for 120+ data services, with more added every release.