Learn how Agenta and Dify differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai development platforms is best for you.
Auto-fetched .

Stars
Forks
Last commit
Repository age
Self-hosted
Auto-fetched .

Both Agenta and Dify have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Dify significantly outpaces Agenta in community adoption with 141,377 stars compared to 4,119 stars on GitHub. This 34.3x difference suggests Dify has a much larger and more active community. In terms of developer contributions, Dify has 22,210 forks, indicating strong developer engagement.
Both projects show recent activity, with Agenta last updated 5 hours ago and Dify 5 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Python, Next.js. However, they differ in their additional technology choices: Dify leverages SCSS, PHP.
Both projects started around the same time, with Agenta beginning 3 years ago and Dify 3 years ago.
Agenta is licensed under MIT, while Dify's license terms are not publicly specified.
Both tools serve similar use cases in AI Development Platforms. However, they also have distinct specializations: Dify extends into AI Agent Platforms, AI Integration Platforms.
Both Agenta and Dify offer self-hosting capabilities, giving you full control over your data and infrastructure.