# Registry

> Registry - Work with registered models containing deployment-ready model packages as versions.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-10-09T14:05:25.090317+00:00` (UTC).

## Primary page

- [Registry](https://docs.datarobot.com/en/docs/workbench/registry/index.html.md): Full documentation for this topic (Markdown sidecar).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html.md): Linked from this page.
- [Register and manage models](https://docs.datarobot.com/en/docs/workbench/registry/model-directory/index.html.md): Linked from this page.
- [Create custom models](https://docs.datarobot.com/en/docs/workbench/registry/model-workshop/index.html.md): Linked from this page.
- [Register data](https://docs.datarobot.com/en/docs/workbench/registry/data-registry/index.html.md): Linked from this page.
- [Register files](https://docs.datarobot.com/en/docs/workbench/registry/file-registry.html.md): Linked from this page.
- [Manage memory spaces](https://docs.datarobot.com/en/docs/workbench/registry/memory-registry.html.md): Linked from this page.
- [Create custom jobs](https://docs.datarobot.com/en/docs/workbench/registry/jobs-workshop/index.html.md): Linked from this page.
- [Create Pipelines](https://docs.datarobot.com/en/docs/workbench/registry/pipelines/index.html.md): Linked from this page.
- [Create custom applications](https://docs.datarobot.com/en/docs/applications/index.html.md): Linked from this page.
- [Create custom environments](https://docs.datarobot.com/en/docs/workbench/registry/environment-workshop/index.html.md): Linked from this page.

## Documentation content

In Registry, you can register and manage models; create custom models, jobs, pipelines, and applications; and view and manage datasets.

| Topic | Description |
| --- | --- |
| Register and manage models | Register and manage registered models containing deployment-ready model packages as versions. |
| Create custom models | Assemble and test model artifacts in the workshop to deploy custom models through Registry. |
| Register data | Add data to Registry to act as a centralized hub for managing datasets, allowing you to easily find, share, explore, and reuse data. |
| Register files | Store, share, and search files of any type, including structured and unstructured data, documents, and binaries. |
| Manage memory spaces | View, create, and share memory spaces for agentic applications that persist chat history and long-term facts. |
| Create custom jobs | Assemble custom jobs in the jobs workshop to implement automation for your models and deployments. |
| Create Pipelines | Create, run, and schedule Python pipelines in Registry. |
| Create custom applications | Create custom applications in DataRobot to share machine learning projects using web applications, including Streamlit and Dash. |
| Create custom environments | Assemble an environment containing the packages required by a custom model, job, or application, along with any additional language and system libraries. |