datawhalechina/self-dify

本教程将全面指导你如何快速搭建自己的AI应用环境,从Docker桌面版的安装与配置开始,到本地部署Dify并自定义AI助手功能,让你轻松实现“猜病例”、“甜蜜哄人”、“新生入学指南”、“小红书读书卡片”与“面试宝典”等多种特色AI应用。并教会你从基础智能体到使用工作流,再到知识库、DeepResearch、数据库、MCP、复杂任务编排等高阶任务,由浅到深的学习掌握基于dify的大模型应用开发。

48
/ 100
Emerging

Covers RAG integration through knowledge base indexing, Agent-based workflow orchestration for multi-step tasks, and database connectivity via text-to-SQL translation. Architecture emphasizes Docker containerization for local Dify deployment, with support for multiple LLM providers (OpenAI, DeepSeek, Ollama) and advanced features like DeepResearch for complex reasoning and MCP protocol integration for extensible tool ecosystems.

362 stars.

No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

362

Forks

35

Language

License

CC-BY-SA-4.0

Last pushed

Dec 21, 2025

Commits (30d)

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