Fathom is an all-in-one client for Jellyfin, on Linux, Windows, and Android (with experimental Android TV). It puts movies, shows, music, and Live TV in one window, with most of Jellyfin's server-side management built in, plus optional Seerr requests and a full YouTube client. Everything plays through mpv (via media_kit), so you get direct play, hardware decoding, and real subtitle and audio track control. Free and open source (AGPL-3.0), built by one person. This is my first update post since the v0.11.0 rundown, so here's what's new across v0.11.1 and v0.12.0.
Feedback is very welcome: bug reports and feature requests on GitHub Issues, questions in Discussions.
Downloads
Downloads is now a full offline library instead of a flat list: separate Movies, TV Shows, Recordings, and Music sections, with the same poster covers and rating badges as the regular library.
A downloaded title opens the same detail page as its library page (backdrop, cast, ratings, overview), scoped to what's downloaded: only the episodes you have, with local-only play, mark watched, and remove that never touch the server.
Download a whole series or season in one go, picking a scope, plus a download option on every episode's own menu.
Download music too, a single track or a whole album or artist, and it plays in the music player with the familiar album view, fully offline.
Live TV recordings can be downloaded as well, and can be found in their own Recordings section.
YouTube
Fixed playback being blocked entirely by YouTube's "confirm you're not a bot" gate.
Fixed multi-language videos defaulting to a dubbed audio track instead of the original.
Shuffle and repeat for background audio, plus skip back to the previous track.
Live streams start in a couple of seconds instead of tens of seconds.
Account and updates
Change your own password from the Profile screen (current, new, confirm). Leaving the new password blank removes it, the same option the official Jellyfin clients offer.
Update checks now have a frequency setting: on or off, plus Every Launch, Daily, or Weekly.
A new build is announced with a floating banner and a native system notification on Linux and Android.
Also since v0.11.0
Tapping an episode row opens its page; the thumbnail or play icon plays it directly.
Background audio no longer freezes on an unplayable track, and recovers from brief network drops.
Saved radio stations are no longer left out of settings backups.
Importing YouTube subscriptions on Android no longer greys out cloud-storage files.
Settings and your Jellyfin login now persist on minimal Linux desktops where the system keyring starts cold, such as Hyprland.
In-app updates on Android work again; a build-numbering issue was rejecting newer builds as a downgrade.
A Nix flake for Linux, so you can build and run Fathom with nix build / nix run.
Platforms: Linux and Windows (self-contained downloads) and Android (APK; Android TV experimental). macOS and iOS still need Mac hardware I don't have yet.
Links
Repo: https://github.com/Fathom-Media/fathom
Latest release: https://github.com/Fathom-Media/fathom/releases/latest
Bugs and feature requests: https://github.com/Fathom-Media/fathom/issues
Docs: https://fathom-media.github.io/fathom
AI Disclosure
Per Rule 7 / [AIP] disclosure requirements, AI was used during development as a coding assistant. Level per category:
- Design (architecture, system design): Hint — I make the architectural calls; AI suggests trade-offs and edge cases I might have missed.
- Implementation (production code): Pair — roughly 50/50. AI drafts, I review, adjust, test on real hardware, and only commit what I've verified. Every commit is manually reviewed before it goes to my dev repo.
- Testing (writing tests, test plans, QA): Assisted — real-device testing is manual (I test on my own PC and mobile devices before every release). AI helps draft test plans and think through edge cases.
- Documentation (docs, comments, README, CHANGELOG): Pair — release notes and changelog entries are drafted with AI then edited for tone; comments and code docs are mostly Pair as well.
- Review (code review, PR feedback): Assisted — I'm the reviewer; AI helps with security sweeps, audit passes on complex changes, and consistency checks.
- Deployment (CI/CD, release pipeline): Hint — GitHub Actions and the release pipeline are largely conventional; AI-suggested improvements only.