AI2Apps

Developing, Serving, Sharing: An Open-Source Distributed PC-Side AI Agent Infrastructure
English Β· [δΈ­ζ–‡](./README_ZH.md)
## 🏠 Overview
> This project is the first fully open-source PC-side AI Agent application infrastructure, dedicated to solving the `AI capability silo` problem. > It covers the entire lifecycle from development, service, to sharing, supporting end-to-end autonomous encapsulation of user-specific AI capabilities through the browser. > Community users can freely share and reuse AI capabilities across devices, promoting the democratization of AI technology.
#### Developing
| [Automatic Deployment Video](https://youtu.be/seRTYtwgLrk) | |---| |[![developing](https://img.youtube.com/vi/seRTYtwgLrk/0.jpg)](https://youtu.be/seRTYtwgLrk)|
#### Serving | [Spark TTS Video](https://youtu.be/b3Ym69arLGw) | [3D Video](https://youtu.be/DhERLlXPK6I) | [JiMengAI Video](https://youtu.be/p4cl-FNlW8I) | |---|---|---| | [![spark-tts](https://img.youtube.com/vi/b3Ym69arLGw/0.jpg)](https://youtu.be/b3Ym69arLGw) | [![3d](https://img.youtube.com/vi/DhERLlXPK6I/0.jpg)](https://youtu.be/DhERLlXPK6I) | [![jimeng](https://img.youtube.com/vi/p4cl-FNlW8I/0.jpg)](https://youtu.be/p4cl-FNlW8I) | #### Sharing
| [Tool Mart Video](https://youtu.be/x-q4Jc4Zukc) | |---| |[![tool mart](https://img.youtube.com/vi/x-q4Jc4Zukc/0.jpg)](https://youtu.be/x-q4Jc4Zukc)|
## πŸ–₯ Environment Support - Recommended environment: Mac - Compatible environment: Linux and Windows ## πŸ“¦ Installation For details about the installation, please see [user manual](https://github.com/continue-ai-company/AI2Apps-user-manual/blob/main/README.md). ## πŸ’Ÿ Getting help If you encounter problems, you can seek help in the following ways. 1. [Discord](https://discord.gg/qgqeaWk62e) ## πŸ“ Citation If you find our work useful for your research or application, please cite our paper: 1. [AI2Apps](https://arxiv.org/abs/2404.04902?context=cs.SE) 2. [AI2Agent](https://arxiv.org/abs/2503.23948) ``` @article{pang2024ai2apps, title={AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications}, author={Pang, Xin and Li, Zhucong and Chen, Jiaxiang and Cheng, Yuan and Xu, Yinghui and Qi, Yuan}, journal={arXiv preprint arXiv:2404.04902}, year={2024} } ``` ## 🀝 Contributors

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