langgenius/dify 源码下载_部署教程

项目概述

Production-ready platform for agentic workflow development.

项目地址

https://github.com/langgenius/dify

项目页面预览

langgenius/dify preview

关键指标

Stars：125901
主要语言：Python
License：Other
最近更新：2026-01-14T14:26:17Z
默认分支：main

本站高速下载（国内可用）

源码压缩包下载：点击下载（本站镜像）
SHA256：70ae544304cdd2952239853d74c6de1f9a026af3e6e4426516218b6c58f942b4

安装部署要点（README 精选）

Advanced Setup

Custom configurations

If you need to customize the configuration, please refer to the comments in our .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.

Deployment with Kubernetes

If you’d like to configure a highly-available setup, there are community-contributed Helm Charts and YAML files which allow Dify to be deployed on Kubernetes.

Using Terraform for Deployment

Deploy Dify to Cloud Platform with a single click using terraform

Azure Global

Azure Terraform by @nikawang

Google Cloud

Google Cloud Terraform by @sotazum

常用命令（从 README 提取）

cd dify
cd docker
cp .env.example .env
docker compose up -d

# In your .env file
SUGGESTED_QUESTIONS_PROMPT='Please help me predict the five most likely technical follow-up questions a developer would ask. Focus on implementation details, best practices, and architecture considerations. Keep each question between 40-60 characters. Output must be JSON array: ["question1","question2","question3","question4","question5"]'
SUGGESTED_QUESTIONS_MAX_TOKENS=512
SUGGESTED_QUESTIONS_TEMPERATURE=0.3