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Agenta vs Dify

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.

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Favicon of Agenta

Agenta

Open-source LLMOps platform providing prompt management, evaluation, and observability tools for building robust AI applications with team collaboration.
  • Stars


    4,173
  • Forks


    533
  • Last commit


    12 hours ago
  • Repository age


    3 years
  • License


    MIT
  • Self-hosted


    Yes
View Repository

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Screenshot of Agenta
Favicon of Dify

Dify

Visual platform for building agentic workflows, RAG pipelines, and LLM-powered apps. Supports hundreds of models, MCP integration, and self-hosted deployment.
  • Stars


    143,726
  • Forks


    22,616
  • Last commit


    9 hours ago
  • Repository age


    3 years
  • Self-hosted


    Yes
View Repository

Auto-fetched .

Screenshot of Dify

Detailed Comparison

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 wins
Community & Popularity

Dify significantly outpaces Agenta in community adoption with 143,726 stars compared to 4,173 stars on GitHub. This 34.4x difference suggests Dify has a much larger and more active community. In terms of developer contributions, Dify has 22,616 forks, indicating strong developer engagement.

Comparable
Development Activity

Both projects show recent activity, with Agenta last updated 12 hours ago and Dify 9 hours ago.

Comparable
Technology Stack

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.

Comparable
Project Maturity

Both projects started around the same time, with Agenta beginning 3 years ago and Dify 3 years ago.

Agenta wins
Licensing

Agenta is licensed under MIT, while Dify's license terms are not publicly specified.

Comparable
Use Cases & Features

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.

Comparable
Hosting & Deployment

Both Agenta and Dify offer self-hosting capabilities, giving you full control over your data and infrastructure.

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