dify

Dify addresses the need for a streamlined approach to building Agentic workflows and RAG pipelines, allowing ML and AI teams to integrate rich model and tool support within a collaborative workspace. With a maturity level suitable for production use, it enables teams to transition from prototype to deployment seamlessly, whether on cloud, VPC, or self-hosted environments. This open source tool for engineering teams has demonstrated significant traction, gaining 39,549 stars and achieving a growth rate of 33.4% over 332 days, showcasing its increasing adoption. However, it may not be the right choice for teams requiring highly specialised features or those in need of extensive customisation beyond its current capabilities.

This is a strong choice for teams looking to implement AI-driven workflows quickly and efficiently, particularly when collaboration and ease of deployment are priorities. Teams should consider alternatives if they require highly tailored solutions or if they are working with niche AI applications that Dify does not support.

Dify is particularly beneficial for ML engineers, AI researchers, and data scientists who need to develop and deploy workflows efficiently. It is commonly integrated into products and systems that involve AI automation, data processing, and collaborative project management.

Latest commit: 2026-10-08. Over the past 331 days, this repository gained 39.5k stars (+33.4% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.