OpenMetadata (open-metadata/OpenMetadata) is an open-source AI project on GitHub. Repository summary: OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration. Its focus includes MCP and tool-calling integration, evaluation and observability, team collaboration integrations. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Apache-2.0
Stars
13,933
Homepage
https://open-metadata.org/Features
- Core capability: OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.
- Provides MCP or tool-calling integration
- Includes evaluation, tracing, or observability capabilities
- Integrates with team collaboration and business systems
- Repository: open-metadata/OpenMetadata
- Primary language: TypeScript
Use Cases
- Connects external systems into agent workflows
- Used for AI quality monitoring and regression evaluation
- Used for team knowledge collaboration and task follow-ups
- Build internal AI workflow prototypes with OpenMetadata
- Validate OpenMetadata in production-like engineering scenarios
- Building enterprise process automation
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/open-metadata/OpenMetadata. Community traction is around 13,933 stars. License: Apache-2.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Used for AI quality monitoring and regression evaluation, Used for team knowledge collaboration and task follow-ups.
