Video
CogVideo
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
★ 13,1 Tsd. SterneApache-2.0
Anleitung ansehen →PhoneClaw ist ein Open-Source-Projekt aus der Kategorie Lokale LLMs von kellyvv (kellyvv/PhoneClaw auf GitHub). Es hat 1.267 Sterne auf GitHub und 167 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 6. August 2026 auf GitHub aktualisiert.
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)
stable diffusion webui colab
Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE.
Rustunnel, in Rust — built for self-hosted, secure tunnel server in rust. expose local.
Self-hosted control plane: approve or block rogue agent calls.
Fast Rust scraper that turns web pages into clean data for LLMs.
Die anderen Projekte der Kategorie Lokale LLMs mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls PhoneClaw nicht das Richtige ist.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
LLM inference in C/C++
A high-throughput and memory-efficient inference and serving engine for LLMs
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.
Verwandte Projekte der Kategorie Lokale LLMs im Katalog, die PhoneClaw bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Cloud-native runtime for building and running agentic AI in production.
Clean web interface for chatting with your local Ollama models.
A local workbench for multi-agent software development.
Open source AI agent harness in native Rust - GUI, CLI, webapp from one binary
Offline inference engine for art.
Go-built AI gateway unifying many providers with routing and guardrails.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.