{"id":30558308,"url":"https://github.com/loong64/dify","last_synced_at":"2026-05-13T07:11:52.402Z","repository":{"id":306919931,"uuid":"1027656151","full_name":"loong64/dify","owner":"loong64","description":"Production-ready platform for agentic workflow 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align=\"center\"\u003e\n  📌 \u003ca href=\"https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast\"\u003eIntroducing Dify Workflow File Upload: Recreate Google NotebookLM Podcast\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"https://cloud.dify.ai\"\u003eDify Cloud\u003c/a\u003e ·\n  \u003ca href=\"https://docs.dify.ai/getting-started/install-self-hosted\"\u003eSelf-hosting\u003c/a\u003e ·\n  \u003ca href=\"https://docs.dify.ai\"\u003eDocumentation\u003c/a\u003e ·\n  \u003ca href=\"https://dify.ai/pricing\"\u003eDify edition overview\u003c/a\u003e\n\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003ca href=\"https://dify.ai\" target=\"_blank\"\u003e\n        \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/Product-F04438\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://dify.ai/pricing\" target=\"_blank\"\u003e\n        \u003cimg alt=\"Static Badge\" src=\"https://img.shields.io/badge/free-pricing?logo=free\u0026color=%20%23155EEF\u0026label=pricing\u0026labelColor=%20%23528bff\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://discord.gg/FngNHpbcY7\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://img.shields.io/discord/1082486657678311454?logo=discord\u0026labelColor=%20%235462eb\u0026logoColor=%20%23f5f5f5\u0026color=%20%235462eb\"\n            alt=\"chat on Discord\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://reddit.com/r/difyai\" target=\"_blank\"\u003e  \n        \u003cimg src=\"https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic\u0026logo=reddit\u0026label=r%2Fdifyai\u0026labelColor=white\"\n            alt=\"join Reddit\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://twitter.com/intent/follow?screen_name=dify_ai\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://img.shields.io/twitter/follow/dify_ai?logo=X\u0026color=%20%23f5f5f5\"\n            alt=\"follow on X(Twitter)\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://www.linkedin.com/company/langgenius/\" target=\"_blank\"\u003e\n        \u003cimg src=\"https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white\u0026logoColor=fff\"\n            alt=\"follow on LinkedIn\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://hub.docker.com/u/langgenius\" target=\"_blank\"\u003e\n        \u003cimg alt=\"Docker Pulls\" src=\"https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062\u0026color=%20%23f79009\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://github.com/langgenius/dify/graphs/commit-activity\" target=\"_blank\"\u003e\n        \u003cimg alt=\"Commits last month\" src=\"https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583\u0026color=%20%2312b76a\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://github.com/langgenius/dify/\" target=\"_blank\"\u003e\n        \u003cimg alt=\"Issues closed\" src=\"https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed\u0026label=issues%20closed\u0026labelColor=%20%237d89b0\u0026color=%20%235d6b98\"\u003e\u003c/a\u003e\n    \u003ca href=\"https://github.com/langgenius/dify/discussions/\" target=\"_blank\"\u003e\n        \u003cimg alt=\"Discussion posts\" src=\"https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb\u0026color=%20%237a5af8\"\u003e\u003c/a\u003e\n\u003c/p\u003e\n\n\nDify is an open-source platform for developing LLM applications. Its intuitive interface combines agentic AI workflows, RAG pipelines, agent capabilities, model management, observability features, and more—allowing you to quickly move from prototype to production.\n\n## Quick start\n\n\u003e Before installing Dify, make sure your machine meets the following minimum system requirements:\n\u003e\n\u003e - CPU \u003e= 2 Core\n\u003e - RAM \u003e= 4 GiB\n\n\u003c/br\u003e\n\nThe 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:\n\n```bash\ncd dify\ncd docker\ncp .env.example .env\ndocker compose up -d\n```\n\nAfter running, you can access the Dify dashboard in your browser at [http://localhost/install](http://localhost/install) and start the initialization process.\n\n#### Seeking help\n\nPlease 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.\n\n\u003e 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)\n\n## Key features\n\n**1. Workflow**:\nBuild and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.\n\n**2. Comprehensive model support**:\nSeamless 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).\n\n![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)\n\n**3. Prompt IDE**:\nIntuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.\n\n**4. RAG Pipeline**:\nExtensive 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.\n\n**5. Agent capabilities**:\nYou 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.\n\n**6. LLMOps**:\nMonitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.\n\n**7. Backend-as-a-Service**:\nAll of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.\n\n## Feature Comparison\n\n\u003ctable style=\"width: 100%;\"\u003e\n  \u003ctr\u003e\n    \u003cth align=\"center\"\u003eFeature\u003c/th\u003e\n    \u003cth align=\"center\"\u003eDify.AI\u003c/th\u003e\n    \u003cth align=\"center\"\u003eLangChain\u003c/th\u003e\n    \u003cth align=\"center\"\u003eFlowise\u003c/th\u003e\n    \u003cth align=\"center\"\u003eOpenAI Assistants API\u003c/th\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eProgramming Approach\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eAPI + App-oriented\u003c/td\u003e\n    \u003ctd align=\"center\"\u003ePython Code\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eApp-oriented\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eAPI-oriented\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eSupported LLMs\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eRich Variety\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eRich Variety\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eRich Variety\u003c/td\u003e\n    \u003ctd align=\"center\"\u003eOpenAI-only\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eRAG Engine\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eAgent\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eWorkflow\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eObservability\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eEnterprise Feature (SSO/Access control)\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n  \u003c/tr\u003e\n  \u003ctr\u003e\n    \u003ctd align=\"center\"\u003eLocal Deployment\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e✅\u003c/td\u003e\n    \u003ctd align=\"center\"\u003e❌\u003c/td\u003e\n  \u003c/tr\u003e\n\u003c/table\u003e\n\n## Using Dify\n\n- **Cloud \u003c/br\u003e**\n  We host a [Dify Cloud](https://dify.ai) 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.\n\n- **Self-hosting Dify Community Edition\u003c/br\u003e**\n  Quickly get Dify running in your environment with this [starter guide](#quick-start).\n  Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.\n\n- **Dify for enterprise / organizations\u003c/br\u003e**\n  We provide additional enterprise-centric features. [Log your questions for us through this chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) or [send us an email](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry) to discuss enterprise needs. \u003c/br\u003e\n  \u003e For startups and small businesses using AWS, check out [Dify Premium on AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) 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.\n\n## Staying ahead\n\nStar Dify on GitHub and be instantly notified of new releases.\n\n![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)\n\n## Advanced Setup\n\nIf you need to customize the configuration, please refer to the comments in our [.env.example](docker/.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](https://docs.dify.ai/getting-started/install-self-hosted/environments).\n\nIf you'd like to configure a highly-available setup, there are community-contributed [Helm Charts](https://helm.sh/) and YAML files which allow Dify to be deployed on Kubernetes.\n\n- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)\n- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)\n- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)\n- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)\n- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)\n- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)\n\n#### Using Terraform for Deployment\n\nDeploy Dify to Cloud Platform with a single click using [terraform](https://www.terraform.io/)\n\n##### Azure Global\n\n- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)\n\n##### Google Cloud\n\n- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)\n\n#### Using AWS CDK for Deployment\n\nDeploy Dify to AWS with [CDK](https://aws.amazon.com/cdk/)\n\n##### AWS\n\n- [AWS CDK by @KevinZhao](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)\n\n#### Using Alibaba Cloud Computing Nest\n\nQuickly deploy Dify to Alibaba cloud with [Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user\u0026ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) \n\n#### Using Alibaba Cloud Data Management\n\nOne-Click deploy Dify to Alibaba Cloud with [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) \n\n\n## Contributing\n\nFor those who'd like to contribute code, see our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).\nAt the same time, please consider supporting Dify by sharing it on social media and at events and conferences.\n\n\u003e 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](https://github.com/langgenius/dify/blob/main/web/i18n/README.md) for more information, and leave us a comment in the `global-users` channel of our [Discord Community Server](https://discord.gg/8Tpq4AcN9c).\n\n## Community \u0026 contact\n\n- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Best for: sharing feedback and asking questions.\n- [GitHub Issues](https://github.com/langgenius/dify/issues). Best for: bugs you encounter using Dify.AI, and feature proposals. See our [Contribution Guide](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md).\n- [Discord](https://discord.gg/FngNHpbcY7). Best for: sharing your applications and hanging out with the community.\n- [X(Twitter)](https://twitter.com/dify_ai). Best for: sharing your applications and hanging out with the community.\n\n**Contributors**\n\n\u003ca href=\"https://github.com/langgenius/dify/graphs/contributors\"\u003e\n  \u003cimg src=\"https://contrib.rocks/image?repo=langgenius/dify\" /\u003e\n\u003c/a\u003e\n\n## Star history\n\n[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify\u0026type=Date)](https://star-history.com/#langgenius/dify\u0026Date)\n\n## Security disclosure\n\nTo protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to security@dify.ai, and our team will respond with detailed answer.\n\n## License\n\nThis repository is licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Floong64%2Fdify","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Floong64%2Fdify","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Floong64%2Fdify/lists"}