dify

Production-ready platform for agentic workflow development.

129.6k
Stars
+11.0k
Gained
9.3%
Growth
TypeScript
Language

💡 Why It Matters

Dify addresses the need for a robust platform that simplifies agentic workflow development, making it easier for ML and AI teams to implement complex automation tasks. This production-ready solution has gained significant traction, with a 9.3% increase in stars over 96 days, indicating strong community interest and healthy adoption. Its maturity level suggests reliability for production use, but it may not be the best choice for teams seeking a lightweight or highly customisable framework. Engineers looking for a comprehensive tool to streamline their agentic AI projects will find Dify particularly beneficial.

🎯 When to Use

Dify is a strong choice when teams require a scalable, production-ready platform for developing agentic workflows in machine learning and AI projects. However, teams with simpler needs or those looking for a more flexible, lightweight solution may want to explore alternatives.

👥 Team Fit & Use Cases

This open source tool is ideal for ML engineers, AI developers, and data scientists focused on automation and workflow optimisation. It is commonly integrated into products and systems that require advanced AI capabilities and streamlined operational processes.

🎭 Best For

⚖️ Compare With

🏷️ Topics & Ecosystem

agent agentic-ai agentic-framework agentic-workflow ai automation gemini genai gpt gpt-4 llm low-code mcp nextjs no-code openai orchestration python rag workflow

📊 Activity

Latest commit: 2026-02-14. Over the past 97 days, this repository gained 11.0k stars (+9.3% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.