SHSelfHostIndex

RAGFlow vs SuperAGI

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?
RA RAGFlow RAG engine with deep document understanding VS SU SuperAGI Open-source framework for autonomous AI agents
FeatureRAGFlowSuperAGI
CategorySelf-Hosted AISelf-Hosted AI
LicenseApache-2.0MIT
LanguageGoPython
Setup difficultyMediumHard
Min. RAM8,192 MB4,096 MB
Deploymentdocker, kubernetesdocker
GitHub stars★ 87,057★ 17,656
First released20242023
ReplacesNotebookLMAutoGPT

Why pick each one

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

Choose SuperAGI if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Mature project with 17.7k GitHub stars
  • Written in Python
SuperAGI details

Frequently asked questions

Is RAGFlow or SuperAGI better?

RAGFlow is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider SuperAGI if its specific feature set fits your needs better.

Are RAGFlow and SuperAGI free and open-source?

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

Can I run RAGFlow and SuperAGI with Docker?

RAGFlow: yes. SuperAGI: yes.

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