svcvit/awesome-dify-workflow

★ 10,486Audience · pm founderComplexity · 2/5Setup · moderate

Mindmap

mindmap
  root((awesome-dify-workflow))
    Workflow types
      Database Q&A
      Chart rendering
      Map assistant
      AI Artifacts
    How to use
      Browse README
      Copy DSL file URL
      Import to Dify
    Self-hosting
      Docker setup
      FAQ fixes
      Plugin packs
    Plugins
      Google Translate
      Conversation agent
      Artifacts render

mindmap root((awesome-dify-workflow)) Workflow types Database Q&A Chart rendering Map assistant AI Artifacts How to use Browse README Copy DSL file URL Import to Dify Self-hosting Docker setup FAQ fixes Plugin packs Plugins Google Translate Conversation agent Artifacts render

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Things people build with this

USE CASE 1

Import a pre-built Dify workflow that lets a chatbot answer questions from a database without writing any code.

USE CASE 2

Add an ECharts chart-rendering workflow to a Dify app to visualize data responses from your chatbot.

USE CASE 3

Self-host Dify with Docker and use the FAQ section to fix common configuration problems quickly.

Tech stack

YAMLDifyDocker

Getting it running

Difficulty · moderate Time to first run · 30min

Requires an existing Dify cloud account or a self-hosted Dify instance running via Docker.

In plain English

Awesome-Dify-Workflow is a collection of ready-made workflow files for Dify, an open-source platform used to build AI-powered applications and chatbots. The README is written primarily in Chinese. The repository exists to share pre-built workflow configurations that anyone can download and import directly into their own Dify account without writing code. Dify uses a file format called DSL (domain-specific language) to describe how a workflow should run: what inputs it accepts, what AI model it calls, how it branches based on conditions, and what it outputs. This repository provides those DSL files as YAML files organized by topic. You browse the catalog in the README, find a workflow that matches what you want to do, copy its file URL, and import it into your Dify account. The imported workflow is immediately ready to run or be published as a tool or chatbot. The catalog covers a wide range of use cases. The README lists workflows updated at various dates, including one that lets a chatbot answer questions from a database, one that renders charts using the ECharts library, a map assistant using an external mapping service, and a workflow that mimics the Artifacts feature from another AI product to render AI-generated HTML pages interactively. New entries are added periodically. The repository also includes a frequently-asked-questions section that addresses common problems people run into when self-hosting Dify with Docker, such as how to install extra Python libraries in the sandbox environment, how to raise string length limits, how to reset the admin password, and how to handle large file uploads. The author also maintains a companion repository of Dify 1.0 plugin packages for bulk download, and links to several open-source plugins including a Google Translate tool, a conversation agent strategy, and an Artifacts rendering extension.

Copy-paste prompts

Prompt 1

I want to import the database Q&A workflow from awesome-dify-workflow into my Dify account. Walk me through finding the DSL YAML file and importing it step by step.

Prompt 2

How do I install an extra Python library inside the Dify Docker sandbox so my imported workflow can use it?

Prompt 3

I found a workflow in awesome-dify-workflow that renders AI-generated HTML with Artifacts. How do I publish it as a public chatbot in Dify?

Prompt 4

How do I reset the admin password on a self-hosted Dify instance running in Docker?

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