Dify vs R2R

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?
FeatureDifyR2R
Deploy effortUnder-an-hour setupUnder-an-hour setup
Health score100 · Excellent52 · Fair
CategorySelf-Hosted AISelf-Hosted AI
LicenseApache-2.0MIT
LanguageTypeScriptPython
Setup difficultyMediumMedium
Min. RAM4,096 MB4,096 MB
Deploymentdocker, kubernetes, helmdocker, source
GitHub stars★ 157,021★ 8,004
First released20232024
ReplacesOpenAI Assistants, Vertex AI Agent BuilderOpenAI Assistants

What are Dify and R2R?

Dify

Dify is an LLM application development platform that combines workflow orchestration, RAG pipelines, agent capabilities, and observability. It lets teams build and operate generative AI applications with a visual interface.

  • Visual workflow builder
  • Built-in RAG engine
  • Agent and tool support
  • Prompt and dataset management

Read the full Dify guide →

R2R

R2R (RAG to Riches) is a retrieval-augmented generation engine that bundles ingestion, hybrid search, knowledge graphs, and agentic reasoning behind a single API. It is designed for self-hosted production deployment of document question answering.

  • Hybrid and graph search
  • Document ingestion pipeline
  • Agentic RAG endpoints
  • User and collection management

Dify vs R2R: key differences

Dify is written in TypeScript, while R2R is built with Python. Licensing differs — Apache-2.0 for Dify versus MIT for R2R. Dify has the considerably larger community, at 157,021 GitHub stars versus 8,004.

Why pick each one

Choose Dify if…

  • Visual workflow builder
  • Built-in RAG pipelines
  • Growing plugin ecosystem

Watch out for

  • Heavy multi-container stack
  • Enterprise features paid
Dify details

Choose R2R if…

  • Released under the MIT license
  • First-class Docker support for quick deployment
  • Mature project with 8k GitHub stars
  • Written in Python
R2R details

Frequently asked questions

Is Dify or R2R 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 R2R free and open-source?

Yes. Dify is licensed under Apache-2.0 and R2R under MIT. Both can be self-hosted at no software cost.

Can I run Dify and R2R with Docker?

Dify: yes. R2R: yes.

Related comparisons