NixOS Media Server Configuration
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Updated
Jun 19, 2026 - Nix
NixOS Media Server Configuration
Ansible playbook for an orchestrated Home Media Server deployment
The coordination, measurement, and quality layer that subgen never had. A peer service for the *arr family that adds calibrated audio-language detection, provider success leaderboards, and (v1.1) an in-app Whisper tuning lab.
Intelligent media cleanup for Radarr/Sonarr using Tautulli watch history. Automated, safe, user-aware.
Lidarr YouTube Downloader: free self-hosted Docker app that auto-downloads missing albums from YouTube as tagged songs with ID3 metadata, MusicBrainz/AcoustID fingerprinting, and automatic Lidarr import. Flask + yt-dlp music automation for your home media server.
A charmed media streaming platform manager
Self-hosted media server for macOS. One-command install. Plex, Sonarr, Radarr, Prowlarr, qBittorrent, Bazarr — all pre-configured with VPN and auto-healing.
🤖 Jellyfin plugin with ML-powered per-user recommendations, watch activity insights, automated media cleanup (trickplay, subtitles, symlinks, .strm), Overseerr/Jellyseerr request management, codec/health statistics, growth trends, trash bin, backup/restore & multi-instance Radarr/Sonarr. 8-tab dashboard, 8 languages.
Advanced self-hosted media server for macOS. Auto-healing, transcoding (Tdarr), quality profiles (Recyclarr), metadata automation (Kometa), download watchdog, VPN failover, and automated backups.
Docker Compose media server stack with automated requesting, downloading, organizing, and subtitles. Includes Sonarr, Radarr, SABnzbd, Prowlarr, Bazarr, Seerr, Recyclarr, and Tailscale — with optional Homepage dashboard, Audiobookshelf, and LazyLibrarian. Designed for Jellyfin + usenet
Just a simple python script to keep track of failed and successful grabs per indexer basis. Works only with sonarr and radarr.
Multi-language audio enforcement for the *arr media stack
MCP Server for Plex + the *arr suite of media server tools
AI-powered self-hosted media automation agent — replace your entire arr stack with one intelligent pipeline
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