wwwzhouhui/dify-for-dsl

What it solves

This project provides a comprehensive collection of Domain Specific Language (DSL) workflow scripts for the Dify open-source platform. It solves the problem of having to build complex AI workflows from scratch by offering pre-configured templates for a wide variety of use cases, ranging from multimodal content generation to business automation.

How it works

Users can import the provided .yml DSL files directly into a Dify instance (version 0.8.0 or higher). These scripts define the logic, node connections, and tool integrations required to execute specific tasks. Many of the workflows integrate with third-party APIs, custom plugins, or MCP (Model Context Protocol) servers to extend Dify's native capabilities, such as connecting to financial data (Akshare), image generation tools, or document parsers.

Who it’s for

• Dify Users: Individuals looking to quickly deploy functional AI agents and workflows without manual configuration.
• AI Developers: Those seeking inspiration or reference implementations for integrating LLMs with external tools and APIs.
• Business Users: People needing automated solutions for invoice recognition, financial report analysis, or content creation.

Highlights

• Multimodal Capabilities: Workflows for text-to-image, text-to-video, and text-to-speech (TTS) using various plugins and APIs.
• Business Automation: Specialized tools for invoice and bill recognition, contract review, and financial report analysis.
• Educational Tools: Scripts for generating teaching animations, mathematical formula recognition (LaTeX), and English composition scoring.
• Data Integration: Workflows that connect to databases (Text2SQL), RSS feeds for news aggregation, and financial data interfaces.
• Custom Extensions: Includes several custom-developed Dify plugins and MCP servers to enable advanced functionality.