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.
| Feature | Dify | R2R |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 100 · Excellent | 52 · Fair |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 4,096 MB |
| Deployment | docker, kubernetes, helm | docker, source |
| GitHub stars | ★ 157,021 | ★ 8,004 |
| First released | 2023 | 2024 |
| Replaces | OpenAI Assistants, Vertex AI Agent Builder | OpenAI 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
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
Choose R2R if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 8k GitHub stars
- Written in Python
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.