Dify 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. Instalação e Configuração Dify Instalação Dify oficial Link: https://github.com/langgenius/dify            git clone: https://github.com/langgenius/dify.git   📌  Introducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast Dify Cloud  ·  Self-hosting  ·  Documentation  ·  Dify edition overview                                           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 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  are installed on your machine: 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  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 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 Feature Dify.AI LangChain Flowise OpenAI Assistants API Programming Approach API + App-oriented Python Code App-oriented API-oriented Supported LLMs Rich Variety Rich Variety Rich Variety OpenAI-only RAG Engine ✅ ✅ ✅ ✅ Agent ✅ ✅ ❌ ✅ Workflow ✅ ❌ ✅ ❌ Observability ✅ ✅ ❌ ❌ Enterprise Feature (SSO/Access control) ✅ ❌ ❌ ❌ Local Deployment ✅ ✅ ✅ ❌ Using Dify Cloud We host a  Dify Cloud  service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan. Self-hosting Dify Community Edition Quickly get Dify running in your environment with this  starter guide . Use our  documentation  for further references and more in-depth instructions. Dify for enterprise / organizations We provide additional enterprise-centric features.  Log your questions for us through this chatbot  or  send us an email  to discuss enterprise needs. For startups and small businesses using AWS, check out  Dify Premium on AWS Marketplace  and deploy it to your own AWS VPC with one click. It's an affordable AMI offering with the option to create apps with custom logo and branding. Staying ahead Star Dify on GitHub and be instantly notified of new releases. Advanced Setup If you need to customize the configuration, please refer to the comments in our  .env.example  file and update the corresponding values in your  .env  file. Additionally, you might need to make adjustments to the  docker-compose.yaml  file itself, such as changing image versions, port mappings, or volume mounts, based on your specific deployment environment and requirements. After making any changes, please re-run  docker-compose up -d . You can find the full list of available environment variables  here . If you'd like to configure a highly-available setup, there are community-contributed  Helm Charts  and YAML files which allow Dify to be deployed on Kubernetes. Helm Chart by @LeoQuote Helm Chart by @BorisPolonsky Helm Chart by @magicsong YAML file by @Winson-030 YAML file by @wyy-holding Using Terraform for Deployment Deploy Dify to Cloud Platform with a single click using  terraform Azure Global Azure Terraform by @nikawang Google Cloud Google Cloud Terraform by @sotazum Using AWS CDK for Deployment Deploy Dify to AWS with  CDK AWS AWS CDK by @KevinZhao Contributing For those who'd like to contribute code, see our  Contribution Guide . At the same time, please consider supporting Dify by sharing it on social media and at events and conferences. We are looking for contributors to help translate Dify into languages other than Mandarin or English. If you are interested in helping, please see the  i18n README  for more information, and leave us a comment in the  global-users  channel of our  Discord Community Server . Community & contact GitHub Discussion . Best for: sharing feedback and asking questions. GitHub Issues . Best for: bugs you encounter using Dify.AI, and feature proposals. See our  Contribution Guide . Discord . Best for: sharing your applications and hanging out with the community. X(Twitter) . Best for: sharing your applications and hanging out with the community. Contributors Star history Security disclosure To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to  security@dify.ai  and we will provide you with a more detailed answer. License This repository is available under the  Dify Open Source License , which is essentially Apache 2.0 with a few additional restrictions.