nano-graphrag vs OpenCode
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?
nano-graphrag
Simple, hackable GraphRAG implementation in Python
VS
OpenCode
The open source AI coding agent
| Feature | nano-graphrag | OpenCode |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | free |
| Language | Python | TypeScript |
| Setup difficulty | Medium | Easy |
| Min. RAM | 1,024 MB | 512 MB |
| Deployment | source | docker, one-click |
| GitHub stars | ★ 3,962 | ★ 194,821 |
| First released | 2024 | 2022 |
| Replaces | Microsoft GraphRAG | — |
Why pick each one
Choose nano-graphrag if…
- Released under the MIT license
- Active community (4k GitHub stars)
- Written in Python
Choose OpenCode if…
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- One-click install on common self-host platforms
- Mature project with 194.8k GitHub stars
Frequently asked questions
Is nano-graphrag or OpenCode better?
OpenCode is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider nano-graphrag if its specific feature set fits your needs better.
Are nano-graphrag and OpenCode free and open-source?
Yes. nano-graphrag is licensed under MIT and OpenCode under free. Both can be self-hosted at no software cost.
Can I run nano-graphrag and OpenCode with Docker?
nano-graphrag: check the project docs for container support. OpenCode: yes.