MovieClaw

One install. That's all you need.

It used to take six or seven services, six or seven configs, and a lot of effort to keep them all agreeing about the same library. Now it's just MovieClaw:

All-in-one has its trade-offs, and they're laid out honestly in Boundaries.

Native apps, with playback that rivals Infuse

Watch right in your browser, or in the native iPhone app. Built on its own playback engine: FFmpeg unpacks, Apple plays.

• Dolby Vision and Dolby Atmos; 4K HDR and Blu-ray disc rips play directly.
• Hardware decoding first, software decoding as the fallback, and transcoding only as a last resort.
• 4K over cellular starts in a second or two; when your connection can't keep up with the bitrate, it suggests dropping a quality tier.
• Progress syncs across the web app, the iPhone app, and Infuse, so you pick up wherever you left off.
• Clips: swipe vertically through highlights pulled from your own movies and shows.

Getting the app: download MovieClaw-iOS-unsigned.ipa from Releases and sideload it with AltStore, SideStore, or Sideloadly using your own Apple ID (iOS 26 or later; sideloaded builds can't receive push notifications). A public TestFlight is coming. Trackers and download clients are configured in the web app.

The web app is liquid glass: the sidebar, inputs, and floating buttons refract whatever background image you choose, with a touch of chromatic aberration at the edges. Swap the background under Settings → Appearance, and it stays consistent on every device connected to the same instance.

Just say the word. It handles the rest.

MovieClaw puts an autonomous, general-purpose AI agent inside your media server. Organizing your library, making subtitles, handling all those quirky one-off requests: all you have to do is ask.

• "Any ideas for something light to watch with the kids tonight?" It searches your library, picks three by runtime and rating, and shows them as poster cards.
• "Elephants Dream doesn't have Spanish subtitles. Can you make some?" It finds subtitles in another language, translates them to match the film's tone, syncs the timing, and saves a sidecar SRT.
• "If Charge ever comes out in 4K, swap it in for me." It sets up an upgrade rule. When a better release appears it's downloaded and swapped in, and the old file goes to the recycle bin first.
• "Who watched the most this week?" It pulls this week's watch history and totals it up per family member.

You can talk to it from WeChat too, by text or voice; Telegram and Discord work as well, and Feishu groups can join as a push-only outlet. It checks with you before deleting anything, and every tool it calls is right there for you to see. The rules are spelled out under Boundaries.

The agent needs an LLM connected under Settings → AI Models (any OpenAI-compatible endpoint). Skip it and everything else still works. Teach it "skills" in plain Markdown: drop a directory with a SKILL.md into data/agent-skills/ (a description in the frontmatter, instructions in the body, scripts welcome) and the agent loads it on its own whenever a web-session task matches. Changes take effect immediately, no restart. A skill sharing a name with a built-in one overrides it (the log says so). Details in docs/design/agent-skills.md.

Fast, accurate release parsing

Release names aren't guessed at with regexes. A small NER model, distilled from a large language model, parses one in about 3 ms on a plain CPU, and resolution, source, codec, subtitles, audio, and release group each get their own field:

三体.Three-Body.2023.S01E05.2160p.WEB-DL.H265.AAC.国语中字-OurTV
↓
Series · Season 1 Episode 5 · 2160p · H.265 · WEB-DL · AAC
Subtitles: Chinese    Audio: Mandarin    Release group: OurTV

Even shorthand like "国语中字" (Mandarin audio, Chinese subs), which only exists on Chinese trackers, splits cleanly into separate subtitle and audio fields. When it isn't sure, it doesn't guess: ambiguous items land in a pending identification queue with a plain-language reason ("3 equally plausible matches; not choosing for you"), and one confirmation resolves the whole group.

Any agent can run every feature

Every feature is available through the mclaw CLI and MCP. Connect ChatGPT, Claude, WorkBuddy, Cursor, or Claude Code, and they can subscribe, run quality upgrades, and organize your library: anything you can do in the web app. The command tree is generated straight from the server's API, so ship a feature on the backend and every agent can use it.

• MCP, on your terms: create an MCP endpoint and pick exactly what it can do. Every endpoint gets its own token, revocable anytime.
• The CLI runs anywhere: a single static binary. See Control It from Anywhere.
• Your models: plug in OpenAI, any OpenAI-compatible provider, or your own vLLM.

One pipeline, from subscription to library

Subscribe to a show, and everything after that (search, download, identify, fetch metadata, import, notify) runs on its own. No more keeping settings in sync across a handful of services.

• Quality upgrades: describe your target quality as a rule and MovieClaw swaps in better releases as they appear. Replaced files go to a delayed-deletion recycle queue, and if you'd rather keep the 1080p REMUX and the 4K, turn on side-by-side versions.
• Health check: dry-runs every step of the chain (trackers, download client, library) so you can spot where it would get stuck.
• Just joined a private tracker and need to protect your ratio? Turn on site protection: subscriptions steer around that site while manual search still works, so you can build up your ratio before opening it up.

This is what a personal media library should feel like