AIOLists v1.0.0 - Stremio List Manager!
The kinda stable release of AIOLists, bringing a bunch of features to manage your Stremio lists!
✨ Features & Enhancements
- Unified List Management: Import and manage lists from various sources in one place.
- MDBList & Trakt URL Imports: Directly import lists by pasting URLs from MDBList.com and Trakt.tv.
- Trakt Integration: Connect your Trakt account to access personal lists, watchlist, recommendations, trending, and popular content.
- External Addon Importing: Import lists from other Stremio addons, should support most popular ones.
- Sorting: If the sorting option exists it's there.
- List Customization:
- Reorder: Drag and drop to arrange lists as you like.
- Rename: Give custom names to any list for better organization.
- Merge/Split: If a list contains both movies and series you can merge it into a single Stremio row so it doesn't take up more space than it needs to.
- Instant Watchlist Updates: Fetches watchlist content on load.
- RPDB Support: Optional RatingPosterDB (RPDB) integration for enhanced poster images across all your lists (requires your own RPDB API key).
- Configurable Genre Filtering: If you add too many list you might hit the 8kb manifest size limit. By disabling genre filtering the manifest size should half so you can have more lists.
- Discovery Lists: Randomly selected MDBList from a set list of users, a new random list is delivered everytime you refresh the catalog.
- Share Your Setup: Generate a shareable hash of your AIOLists configuration (list order, names, imported addons) to share with others.
🔗 Public Instances
Railway public instance
Huggingface public instance
🚀 Deployment Options
- Docker (Recommended): Easy self-hosting on any Docker-compatible platform (VPS, Home Server, Railway, Render, Fly.io, Hugging Face Spaces).
- Example for Hugging Face Docker Spaces:
FROM ghcr.io/sebastianmorel/aiolists:latest ENV PORT=7860
- Example for Hugging Face Docker Spaces:
- Node.js: Manual deployment on a Node.js server.
🙏 Support and Shoutout
If you find AIOLists useful, please consider starring the repository on GitHub!
Thanks to AIOStreams for alot of inspiration, and Yazzy and Danarama for testing.