Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and Docker Compose v2.24.0 or later are installed on your machine: [安装/使用命令见下方] After running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process. Seeking help Please refer to our FAQ if you encounter problems setting up Dify. Reach out to the community and us 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 Key features 1. Workflow : Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond. 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. 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 Re