langgenius/dify

每日信息看板 · 2026-01-31
开源项目
Category
github_search
Source
71
Score
2026-02-01T06:45:05Z
Published

AI 总结

Dify 是用于开发与部署 LLM 应用的开源平台,提供可视化工作流、RAG、Agent、模型管理与可观测性等能力,帮助团队从原型快速走向生产并支持云端与自托管。
#GitHub #repo #开源项目 #Dify #RAG #Agent #LLMOps #Dify Cloud

内容摘录

!cover-v5-optimized

<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" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
 <a href="https://discord.gg/FngNHpbcY7" target="_blank">
 <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
 alt="chat on Discord"></a>
 <a href="https://reddit.com/r/difyai" target="_blank"> 
 <img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
 alt="join Reddit"></a>
 <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
 <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
 alt="follow on X(Twitter)"></a>
 <a 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>
 <a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
 <img alt="LFX Health Score" src="https://insights.linuxfoundation.org/api/badge/health-score?project=langgenius-dify"></a>
 <a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
 <img alt="LFX Contributors" src="https://insights.linuxfoundation.org/api/badge/contributors?project=langgenius-dify"></a>
 <a href="https://insights.linuxfoundation.org/project/langgenius-dify" target="_blank">
 <img alt="LFX Active Contributors" src="https://insights.linuxfoundation.org/api/badge/active-contributors?project=langgenius-dify"></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="./docs/zh-TW/README.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
 <a href="./docs/zh-CN/README.md"><img alt="简体中文文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
 <a href="./docs/ja-JP/README.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
 <a href="./docs/es-ES/README.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
 <a href="./docs/fr-FR/README.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
 <a href="./docs/tlh/README.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
 <a href="./docs/ko-KR/README.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
 <a href="./docs/ar-SA/README.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
 <a href="./docs/tr-TR/README.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
 <a href="./docs/vi-VN/README.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
 <a href="./docs/de-DE/README.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
 <a href="./docs/bn-BD/README.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
</p>

Dify 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.
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. Before running Dify with the following commands, make sure that Docker and Docker Compose are installed on your machine:

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 fr…