Data & Research · GitHub ·399 ★

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。

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Details

Author
datawhalechina
Category
Data & Research
Platform
GitHub
Framework
custom
Language
unknown
Stars
399
First indexed
2026-05-15
Last active
2025-12-21
Directory sync
2026-05-15
@datawhalechina

Overview

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。

Quick start

git

git clone https://github.com/datawhalechina/self-dify

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What self-dify can do

llmragresearch
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.

Frequently asked questions

What is 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。
How do I install self-dify?
Use git: `git clone https://github.com/datawhalechina/self-dify`. Full setup details on the source page linked above.
Is self-dify open source?
self-dify is published on GitHub.
What are alternatives to self-dify?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for self-dify is sourced from GitHub, published by datawhalechina.

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