SuggestArr
Instead of manually hunting for what to watch next after finishing a series on Plex, Jellyfin, or Emby, let SuggestArr turn your household's recent viewing history into automated media discovery and download requests. The platform analyzes recently watched movies, shows, and anime, queries TMDb or any OpenAI-compatible LLM (including Ollama, OpenRouter, and LiteLLM) for tailored recommendations with plain-language explanations, and dispatches requests straight to Seer, Jellyseerr, or Overseerr. Built-in AI Search lets users describe a mood or plot in natural language and request matching titles in a single click. Administrators can schedule recurring discovery jobs, import public watchlists from Trakt and MDBList, and enforce granular filters for minimum ratings, release years, genres, and regional streaming service availability so you never download content you already pay to stream. Smart request controls pause jobs when Seer queues are full, require optional human approval before submission, auto-decline stale requests, and clean up unwatched suggestions automatically. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
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