Wardrowbe is an open source wardrobe management app that uses AI to help you organize your clothes and decide what to wear. You photograph your clothing, AI analyzes each item, and the system suggests outfits based on weather, occasion, and your personal style.
The project started from a simple frustration: standing in front of a full closet with nothing to wear. Existing wardrobe apps were either abandoned, locked behind paywalls with no way to self-host, or just not very good. Wardrowbe was built to be the tool we actually wanted to use.
Wardrowbe is open source under the MIT License. The full application — backend, frontend, mobile app, AI pipeline — is available on GitHub. Nothing is held back from the self-hosted version.
Self-hosting means your data stays on your own server. You choose your own AI provider: Ollama for local inference, OpenAI, or any OpenAI-compatible API. The app runs on anything that supports Docker — a Raspberry Pi, an old laptop, a NAS, or a VPS.
For people who don't want to manage a server, we offer a cloud-hosted version at app.wardrowbe.com. It includes managed AI tagging, virtual try-on, automatic updates, and zero setup. The cloud service is what funds continued development of the open source project.
Wardrowbe is built in the open. Bug reports, feature requests, and pull requests are welcome on GitHub.