Learn how AgentOS and Dify differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai agent platforms is best for you.
Last 30 days
Last commit
8 hours agoRepository age
1 yearVersion
v0.15.27License
Apache-2.0Repository
framersai/agentos
Last 30 days
Last commit
7 hours agoRepository age
4 yearsVersion
1.18.0Self-hosted
YesRepository
langgenius/dify
Dify appears to have several advantages over AgentOS, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Dify significantly outpaces AgentOS in community adoption with 159,721 stars compared to 683 stars on GitHub. This 233.9x difference suggests Dify has a much larger and more active community. In terms of developer contributions, Dify has 25,243 forks, indicating strong developer engagement.
AgentOS and Dify are moving at much the same rate, adding 10 stars and adding 2,385 stars respectively over the last 30 days (+1.5% vs +1.5%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with AgentOS last updated 8 hours ago and Dify 7 hours ago.
Both tools share common technology foundations, being built with JavaScript, Typescript. However, they differ in their additional technology choices: Dify leverages CSS, Bash, JSX, Python, Next.js, SCSS, PHP.
Dify has been in development longer, starting 4 years ago, compared to AgentOS which began 1 year ago. This 2.6-year head start suggests Dify may have more mature features and established processes.
AgentOS is licensed under Apache-2.0, while Dify's license terms are not publicly specified.
Both tools serve similar use cases in AI Agent Platforms.
Dify provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.