Dify vs nano-graphrag
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?
Dify
Open-source platform for building production LLM apps
VS
nano-graphrag
Simple, hackable GraphRAG implementation in Python
| Feature | Dify | nano-graphrag |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 1,024 MB |
| Deployment | docker, kubernetes, helm | source |
| GitHub stars | ★ 151,746 | ★ 3,962 |
| First released | 2023 | 2024 |
| Replaces | OpenAI Assistants, Vertex AI Agent Builder | Microsoft GraphRAG |
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
Choose nano-graphrag if…
- Released under the MIT license
- Active community (4k GitHub stars)
- Written in Python
Frequently asked questions
Is Dify or nano-graphrag 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 nano-graphrag free and open-source?
Yes. Dify is licensed under Apache-2.0 and nano-graphrag under MIT. Both can be self-hosted at no software cost.
Can I run Dify and nano-graphrag with Docker?
Dify: yes. nano-graphrag: check the project docs for container support.