# datawhalechina/self-dify

<https://repo.masters-masters.com/en/repos/datawhalechina/self-dify>

[Home](https://repo.masters-masters.com/en) › [datawhalechina](https://repo.masters-masters.com/en/owners/datawhalechina) › [self-dify](https://repo.masters-masters.com/en/repos/datawhalechina/self-dify)

datawhalechina/self-dify has 635 stars on GitHub. Its RepoMasters card: Alpha tier. 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”…

| Field | Value |
| --- | --- |
| Owner | [datawhalechina](https://repo.masters-masters.com/en/owners/datawhalechina) |
| Stars | 635 |
| Forks | 66 |
| Language | No language |
| License | CC-BY-SA-4.0 |
| Created | 2024 |
| Topics | agents, dify, rag, llms |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [datawhalechina/self-dify](https://github.com/datawhalechina/self-dify) |

## Repository

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。

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.