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

  • hendrik@palaver.p3x.deEnglish
    1·
    2 hours ago

    Yes. I think determinism a misunderstood concept. In computing, it means exact same input leads to always the same output. Could be entirely wrong, though. As long as it stays the same. There’s some benefit in introducing randomness to AI. But it can be run in an entirely deterministic way as well. Just depends on the settings. (It’s called “temperature”.)