প্রকল্প সম্পর্কে

AutoBangumi is a fully automated anime tracking and download tool based on RSS, enabling unattended operation. Users only need to subscribe to anime on sites like Mikan Project, and the tool will automatically handle downloading, renaming, and directory organization. Key features include a 7-step setup guide for initial use, automatic renaming of downloaded torrent files to a standard format (like `Kakkou no Iinazuke S01E07.mp4`), which is recognized by 99% of media libraries like Plex and Jellyfin, support for completing missing episodes mid-season, an integrated TMDB parser for complete metadata generation, support for qBittorrent and aria2 downloaders, and the ability to customize subtitle groups and resolution preferences for different anime. Version 3.3 introduces programmatic updates with sha256/ed25519 signature verification, multi-provider LLM parsers (OpenAI, Claude, Gemini) with fallback mode, SSE-driven WebUI to reduce polling, automatic recognition and organization of theater version/OVA/Special content, and a fully asynchronous backend architecture with enhanced authentication. The project offers Docker deployment and supports multiple RSS site aggregations, positioning itself as an assistant tool for media library content automation.