Open source Loom alternative for fast screen recording, local editing, and shareable video links, with optional self-hosting.
- Stars
- 783
- Forks
- 163
- Open issues
- 57
- Last commit
- 17 hours ago
What is it?
wardrowbe is a self-hosted web app for managing a wardrobe. You upload photos of clothing, an AI model extracts details such as colors, patterns and styles, and the app builds a searchable digital closet from them.
Outfit suggestions take into account the local weather, the occasion and your stated preferences, and can be delivered as scheduled daily notifications through ntfy, Mattermost or email. The app also records what you wear, lets you rate outfits, and offers analytics on which items get worn and which sit unused. Wardrobes can be managed for several household members.
The stack is Next.js on the frontend, FastAPI with PostgreSQL and Redis on the backend, and an arq worker for AI jobs. It works with any OpenAI-compatible API, including local Ollama models, and ships Docker Compose files plus Kubernetes manifests for deployment.
Key features
- 01AI extracts clothing details from uploaded photos automatically
- 02Outfit recommendations matched to weather, occasion and preferences
- 03Daily suggestions via ntfy, Mattermost or email
- 04Wear history, ratings and analytics on unused items
- 05Works with OpenAI, Ollama, LocalAI or any OpenAI-compatible API
- 06Supports OIDC and forward-auth sign-in, and eight interface languages
Use cases
- Managing a personal closet and seeing which clothes go unworn
- Getting a daily outfit suggestion matched to the local forecast
- Running a family wardrobe on a home server or Raspberry Pi
- Keeping clothing photos and AI analysis fully on local hardware with Ollama
Topics
FAQ
- What is wardrowbe?
- Self-hosted wardrobe manager that tags clothing photos with AI and suggests daily outfits based on weather and occasion. wardrowbe is a self-hosted web app for managing a wardrobe. You upload photos of clothing, an AI model extracts details such as colors, patterns and styles, and the app builds a searchable digital closet from them.
- Is wardrowbe free to use? What license does it have?
- wardrowbe is open source under the MIT license. Check the license terms before using it in commercial products.
- Is wardrowbe still maintained?
- Actively maintained. The last commit to wardrowbe was on Oct 18, 2026.
- What can I use wardrowbe for?
- Managing a personal closet and seeing which clothes go unworn Getting a daily outfit suggestion matched to the local forecast Running a family wardrobe on a home server or Raspberry Pi Keeping clothing photos and AI analysis fully on local hardware with Ollama
- Where can I get wardrowbe?
- The source code and installation instructions are on GitHub: https://github.com/Anyesh/wardrowbe
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