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AgentOS vs Dify

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.

vs

AgentOS

AI
Open-source TypeScript runtime for autonomous AI agents with cognitive memory, multi-agent orchestration, runtime tool generation, and support for 21 LLM providers.
683stars+10(+1.5%)

Last 30 days

Screenshot of AgentOS

Dify

AI
Visual platform for building agentic workflows, RAG pipelines, and LLM-powered apps. Supports hundreds of models, MCP integration, and self-hosted deployment.
159,721stars+2,385(+1.5%)

Last 30 days

  • Last commit

    7 hours ago
  • Repository age

    4 years
  • Version

    1.18.0
  • Self-hosted

    Yes
  • Repository

    langgenius/dify
Screenshot of Dify

Detailed Comparison

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 wins
Community & Popularity

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.

Comparable
Growth Momentum

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.

Comparable
Development Activity

Both projects show recent activity, with AgentOS last updated 8 hours ago and Dify 7 hours ago.

Comparable
Technology Stack

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 wins
Project Maturity

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 wins
Licensing

AgentOS is licensed under Apache-2.0, while Dify's license terms are not publicly specified.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Agent Platforms.

Dify wins
Hosting & Deployment

Dify provides self-hosting options for complete data control and customization, while AgentOS may be primarily cloud-based or require different deployment approaches.