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

Driven by an active community of thousands globally, OpenMetadata is the #1 open-source project for AI context, data cataloging, and metadata management.
Schemas, tables, columns, dashboards, pipelines, ML models, owners, lineage, and classifications — captured in one open metadata graph.
Glossary terms, metric definitions, ontologies, and W3C-standard relationships (RDF, OWL, DCAT, Schema.org) that give your data shared business meaning.
Corrections, decisions, approvals, feedback loops, and an auditable record of every change — across humans and AI.

OpenMetadata builds a living knowledge graph of your data for AI — what it means, how it connects, and whether it can be trusted. Context drawn from data assets, memories, 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 130+ data services, with more added every release.