I Built a Python script that uses a local Ollama LLM to automatically find and add movies to Radarr.
It picks random films from your library, asks Ollama for similar suggestions based on theme and atmosphere, validates against OMDb, scores with plot embeddings, then adds the top results to Radarr automatically.
Examples:
- Whiplash → La La Land, Birdman, All That Jazz
- The Thing → In the Mouth of Madness, It Follows, The Descent
- In Bruges → Seven Psychopaths, Dead Man's Shoes
Features:
- 100% local, no external AI API
- --auto mode for daily cron/Task Scheduler
- --genre "Horror" for themed movie nights
- Persistent blacklist, configurable quality profile
- Works on Windows, Linux, Mac
GitHub: https://github.com/nikodindon/radarr-movie-recommender
Tho I chafe against rules and regulations, I realize they are necessary.
Me too. It's why I try to carefully pick seasoned projects, and I don't jump on the bandwagon just because it's a new twist to an old solution. I selfishly want others to be my beta testers. LOL Hey, I admit it. Also, I am truly thankful that there exists in the community, those who can and do look at the code and understand the issues involved. I do not possess those skills. I know a limited amount of code and use it for me locally. I would never dare publish it tho. I'm too afraid of what the ramifications would be should someone use my code and the wheels fall off their server. I would feel very responsible. It's the reason I do not even publish my notes to a wiki of some sort.