Vidéo
CogVideo
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
★ 13,1 k étoilesApache-2.0
Voir le guide →PhoneClaw est un projet de LLM locaux open source, créé par kellyvv (kellyvv/PhoneClaw sur GitHub). Il compte 1 267 étoiles sur GitHub et 167 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 6 août 2026.
Self-hosted local llm: turns phones into local ai agent runtimes with on-devic.
Fetch the source code onto your machine.
Load the Xcode project or download a release.
Compile in Xcode with Cmd+R.
Adjust settings in the app preferences.
Built around agent framework for a focused workflow.
Built around ai agent for a focused workflow.
Built around gemma for a focused workflow.
Built around ios for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/kellyvv/PhoneClaw.gitLoad in Xcode.
cd PhoneClaw && open PhoneClaw.xcodeprojCompile from the terminal.
xcodebuild -scheme PhoneClaw -configuration Release buildIt turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Swift, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.