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<div align="center"><a name="readme-top"></a>
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<img src="./resources/logo.png" width="120" height="120" alt="autoMate logo">
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<h1>autoMate</h1>
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An Open Source Development Platform for Agent+RPA.
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[![][issues-helper-image]][issues-helper-url] [![Issues need help][help-wanted-image]][help-wanted-url]
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📚[Documentations](https://s0soyusc93k.feishu.cn/wiki/JhhIwAUXJiBHG9kmt3YcXisWnec?from=from_copylink)|🎞️[Introduction Video](https://www.bilibili.com/video/BV1LW421R7Ai/?share_source=copy_web&vd_source=c28e503b050f016c21660b69e391d391)|🗨[QQ Channel](https://pd.qq.com/s/1ygylejjb)
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[issues-helper-image]: https://img.shields.io/badge/using-actions--cool-blue?style=flat-square
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[issues-helper-url]: https://github.com/actions-cool
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[help-wanted-image]: https://flat.badgen.net/github/label-issues/yuruotong1/autoMate/enhancement/open
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[help-wanted-url]: https://github.com/yuruotong1/autoMate/labels/enhancement
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</div>
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[](https://ant.design)
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## ✨ Features
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- 🌈 Generate automation code by chatting.
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- 🔍 Run automation code with one click from quick search.
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- 📦 Comprehensive automation toolkit
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- ⚙️ Integrated framework and tools for automation development.
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- 🥳 Compatible with all online and local LLMs.
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## 🖥 Enviroment
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- LLM APIs formatted by OpenAI.
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- Refer to the following LiteLLM configuration for detailed information:
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| LLMs | [Completion](https://docs.litellm.ai/docs/#basic-usage) | [Streaming](https://docs.litellm.ai/docs/completion/stream#streaming-responses) | [Async Completion](https://docs.litellm.ai/docs/completion/stream#async-completion) | [Async Streaming](https://docs.litellm.ai/docs/completion/stream#async-streaming) | [Async Embedding](https://docs.litellm.ai/docs/embedding/supported_embedding) | [Async Image Generation](https://docs.litellm.ai/docs/image_generation) |
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|-------------------------------------------------------------------------------------|---------------------------------------------------------|---------------------------------------------------------------------------------|-------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------|-------------------------------------------------------------------------------|-------------------------------------------------------------------------|
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| [openai](https://docs.litellm.ai/docs/providers/openai) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [azure](https://docs.litellm.ai/docs/providers/azure) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [aws - sagemaker](https://docs.litellm.ai/docs/providers/aws_sagemaker) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [aws - bedrock](https://docs.litellm.ai/docs/providers/bedrock) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [google - vertex_ai](https://docs.litellm.ai/docs/providers/vertex) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |
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| [google - palm](https://docs.litellm.ai/docs/providers/palm) | ✅ | ✅ | ✅ | ✅ | | |
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| [google AI Studio - gemini](https://docs.litellm.ai/docs/providers/gemini) | ✅ | ✅ | ✅ | ✅ | | |
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| [mistral ai api](https://docs.litellm.ai/docs/providers/mistral) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [cloudflare AI Workers](https://docs.litellm.ai/docs/providers/cloudflare_workers) | ✅ | ✅ | ✅ | ✅ | | |
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| [cohere](https://docs.litellm.ai/docs/providers/cohere) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [anthropic](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ | ✅ | | |
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| [huggingface](https://docs.litellm.ai/docs/providers/huggingface) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [replicate](https://docs.litellm.ai/docs/providers/replicate) | ✅ | ✅ | ✅ | ✅ | | |
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| [together_ai](https://docs.litellm.ai/docs/providers/togetherai) | ✅ | ✅ | ✅ | ✅ | | |
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| [openrouter](https://docs.litellm.ai/docs/providers/openrouter) | ✅ | ✅ | ✅ | ✅ | | |
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| [ai21](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ | ✅ | | |
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| [baseten](https://docs.litellm.ai/docs/providers/baseten) | ✅ | ✅ | ✅ | ✅ | | |
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| [vllm](https://docs.litellm.ai/docs/providers/vllm) | ✅ | ✅ | ✅ | ✅ | | |
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| [nlp_cloud](https://docs.litellm.ai/docs/providers/nlp_cloud) | ✅ | ✅ | ✅ | ✅ | | |
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| [aleph alpha](https://docs.litellm.ai/docs/providers/aleph_alpha) | ✅ | ✅ | ✅ | ✅ | | |
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| [petals](https://docs.litellm.ai/docs/providers/petals) | ✅ | ✅ | ✅ | ✅ | | |
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| [ollama](https://docs.litellm.ai/docs/providers/ollama) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [deepinfra](https://docs.litellm.ai/docs/providers/deepinfra) | ✅ | ✅ | ✅ | ✅ | | |
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| [perplexity-ai](https://docs.litellm.ai/docs/providers/perplexity) | ✅ | ✅ | ✅ | ✅ | | |
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| [Groq AI](https://docs.litellm.ai/docs/providers/groq) | ✅ | ✅ | ✅ | ✅ | | |
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| [Deepseek](https://docs.litellm.ai/docs/providers/deepseek) | ✅ | ✅ | ✅ | ✅ | | |
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| [anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ | ✅ | | |
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| [IBM - watsonx.ai](https://docs.litellm.ai/docs/providers/watsonx) | ✅ | ✅ | ✅ | ✅ | ✅ | |
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| [voyage ai](https://docs.litellm.ai/docs/providers/voyage) | | | | | ✅ | |
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| [xinference [Xorbits Inference]](https://docs.litellm.ai/docs/providers/xinference) | | | | | ✅ | |
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| [FriendliAI](https://docs.litellm.ai/docs/providers/friendliai) | ✅ | ✅ | ✅ | ✅ | | |
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## 🔗 Related Links
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- [Basic Features](https://s0soyusc93k.feishu.cn/wiki/JhhIwAUXJiBHG9kmt3YcXisWnec#O9W8dEqfBo13oQxCslycFUWonFd)
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- [Project Overview](https://s0soyusc93k.feishu.cn/wiki/SR9ywLMZmin7gakGo21cnyaFnRf?from=from_copylink)
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## 🍬 Quick Start
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Download the latest version from the release and double-click to run directly; no dependencies are required.
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## ⌨️ Local LLM Application Development
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This project is divided into two parts: front-end and back-end. The front-end project is in the `app` directory, and the back-end project is in the `server` directory. This means that to run autoMate, you need to start both the front-end and back-end simultaneously. The project will create an SQLite database autoMate.db in the home directory. To view the database contents, we recommend using the open-source database software `DBeaver`.
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### Initiate the Front-End
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1. Install Node.js (version v18.x is required).
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2. Navigate to the app directory using the command line.
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3. Run `npm install` to install dependencies.
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4. Run `npm run dev` to initiate the front-end
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### Initiate the Back-End:
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1. Install Python 3, preferably version 3.9+.
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2. Navigate to the `server` directory using the command line.
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3. Create and activate virtual env, and run `python -m venv .venv`.
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4. Run `pip install -r requirements.txt` to install the required dependencies.
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5. Run `flask --app main run` to start the back-end.
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### Packaging
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Back-end packaging command:
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`pyinstaller main.spec`
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Front-end packaging command:
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`npm run build:win`
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After packaging, place `main.exe` in the front-end root directory.
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## 🤝 Collaborations
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Please refer to [Contribution Guidance](https://s0soyusc93k.feishu.cn/wiki/ZE7KwtRweicLbNkHSdMcBMTxngg?from=from_copylink).
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> Highly recommended reading [HOW TO ASK QUESTIONS THE SMART WAY](https://github.com/ryanhanwu/How-To-Ask-Questions-The-Smart-Way)、[HOW TO ASK QUESTIONS TO OPEN SOURCE COMMUNITY](https://github.com/seajs/seajs/issues/545) 和 [HOW TO REPORT BUGS EFFICIENTLY](http://www.chiark.greenend.org.uk/%7Esgtatham/bugs-cn.html)、[HOW TO SUBMIT A GOOD ISSUE TO OPEN SOURCE PROJECTS](https://zhuanlan.zhihu.com/p/25795393). Better questions are more likely to get help.
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<a href="https://github.com/yuruotong1/autoMate/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=yuruotong1/autoMate" />
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</a>
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