AI工作流编程，Dify

 <p align="center"> 📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast</a> </p> <p align="center"> <a href="https://cloud.dify.ai">Dify Cloud</a> · <a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-hosting</a> · <a href="https://docs.dify.ai">Documentation</a> · <a href="https://dify.ai/pricing">Dify edition overview</a> </p> <p align="center"> <a href="https://dify.ai" target="_blank"> <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a> <a href="https://dify.ai/pricing" target="_blank"> <img alt="Static Badge" 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href="https://www.linkedin.com/company/langgenius/" target="_blank"> <img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff" alt="follow on LinkedIn"></a> <a href="https://hub.docker.com/u/langgenius" target="_blank"> <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a> <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank"> <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a> <a href="https://github.com/langgenius/dify/" target="_blank"> <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a> <a href="https://github.com/langgenius/dify/discussions/" target="_blank"> <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a> </p> <p align="center"> <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a> <a href="./README_TW.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a> <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a> <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a> <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a> <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a> <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a> <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a> <a href="./README_AR.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a> <a href="./README_TR.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a> <a href="./README_VI.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a> <a href="./README_DE.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a> <a href="./README_BN.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a> </p> Dify is an open-source LLM app development platform. Its intuitive interface combines agentic AI workflow, RAG pipeline, agent capabilities, model management, observability features, and more, allowing you to quickly move from prototype to production. ## Quick start > Before installing Dify, make sure your machine meets the following minimum system requirements: > > - CPU >= 2 Core > - RAM >= 4 GiB </br> The easiest way to start the Dify server is through [docker compose](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your machine: ```bash cd dify cd docker cp .env.example .env docker compose up -d ``` After running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process. #### Seeking help Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) if you are still having issues. > If you'd like to contribute to Dify or do additional development, refer to our [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) ## Key features **1. Workflow**: Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa **2. Comprehensive model support**: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found [here](https://docs.dify.ai/getting-started/readme/model-providers).  **3. Prompt IDE**: Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app. **4. RAG Pipeline**: Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats. **5. Agent capabilities**: You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha. **6. LLMOps**: Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations. **7. Backend-as-a-Service**: All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic. ## Feature Comparison <table style="width: 100%;"> <tr> <th align="center">Feature</th> <th align="center">Dify.AI</th> <th align="center">LangChain</th> <th align="center">Flowise</th> <th align="center">OpenAI Assistants API</th> </tr> <tr> <td align="center">Programming Approach</td> <td align="center">API + App-oriented</td> <td align="center">Python Code</td> <td align="center">App-oriented</td> <td align="center">API-oriented</td> </tr> <tr> <td align="center">Supported LLMs</td> <td align="cent