cued
Self-hosted media discovery, recommendations, collections, and requests for Jellyfin.
Ficha actualizada 23 sept 2026, 8:04 · upstream 23 sept 2026, 7:40 · release v0.8.1
Qué es cued
Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.
Cued is a self-hosted guide to what to watch next. It brings your existing services together to make choosing something enjoyable simple again: Discover → Follow → Request → Available → Watch → Rate → Learn → Recommend.
Key features include personalized recommendations based on ratings, viewing history, and preferences; a better library view with imported Jellyfin media; safe shared use with per-user content limits; optional AI assistance through OpenAI-compatible providers; and proactive following with notifications. The app runs entirely locally using Docker Compose with PostgreSQL for data persistence.
Cued sits above a self-hosted media stack — it is not a media server, player, or download manager itself. Operators choose their own integrations and sources, making Cued a flexible layer that can work alongside Jellyfin, Radarr/Sonarr, M3U Editor, OpenAI services, and other tools.
- Discover new movies and series you might enjoy using AI-powered recommendations
- Organize your media library with collections, tags, and organized views
- Request content from Radarr or Sonarr with approval workflows
- Watch what's coming next with proactive following and notifications
- Rate and rate-listen to movies and series you've watched
- Learn about new releases through curated recommendation lists
- Runs entirely locally using Docker Compose with PostgreSQL, no cloud dependencies
- AI-powered recommendations powered by OpenAI-compatible providers via zero-data-retention routing
- Supports Jellyfin integration for library import and watched state tracking
- Optional M3U Editor/STRM support for direct streaming from local playlists
- Per-user content limits, privacy-aware activity logging, and encrypted credentials
- Requires Docker Engine with Docker Compose v2 to run
- AI recommendations depend on external OpenAI-compatible provider availability
- No built-in media player or download functionality — relies on connected services
- Recommendations are not guaranteed to be accurate and may change over time
Perfil de infraestructura
Estimación inicial derivada del repositorio y de los servicios detectados.
Despliegue detectado
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Deploy Cued using Docker Compose with PostgreSQL. Create a .env file with the encryption key and database password, then run `docker compose pull` followed by `docker compose up -d --wait`. For production use, consider backups of your data directory, regular health checks, and versioned container images. The STRM volume mount requires a host-side path for M3U Editor files.
Stack y dependencias
Componentes inferidos a partir de manifests, configuración y documentación.
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