Dify vs RAGFlow

A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
FeatureDifyRAGFlow
CategorySelf-Hosted AISelf-Hosted AI
LicenseApache-2.0Apache-2.0
LanguageTypeScriptGo
Setup difficultyMediumMedium
Min. RAM4,096 MB8,192 MB
Deploymentdocker, kubernetes, helmdocker, kubernetes
GitHub stars★ 151,746★ 87,057
First released20232024
ReplacesOpenAI Assistants, Vertex AI Agent BuilderNotebookLM

Why pick each one

Choose Dify if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 151.7k GitHub stars
Dify details

Choose RAGFlow if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Kubernetes-ready with Helm charts available
  • Mature project with 87.1k GitHub stars
RAGFlow details

Frequently asked questions

Is Dify or RAGFlow better?

Neither is universally better. Dify has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.

Are Dify and RAGFlow free and open-source?

Yes. Dify is licensed under Apache-2.0 and RAGFlow under Apache-2.0. Both can be self-hosted at no software cost.

Can I run Dify and RAGFlow with Docker?

Dify: yes. RAGFlow: yes.

Related comparisons