OpenClaw vs SGLang
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?
OpenClaw
The AI that actually does things
VS
SGLang
Fast serving framework for LLMs and vision-language models
| Feature | OpenClaw | SGLang |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | free | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 512 MB | 16,384 MB |
| Deployment | docker, one-click | docker, kubernetes, bare-metal |
| GitHub stars | ★ 385,509 | ★ 31,514 |
| First released | 2022 | 2024 |
| Replaces | — | OpenAI API |
Why pick each one
Choose OpenClaw 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 385.5k GitHub stars
Choose SGLang if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k GitHub stars
Frequently asked questions
Is OpenClaw or SGLang better?
OpenClaw is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider SGLang if its specific feature set fits your needs better.
Are OpenClaw and SGLang free and open-source?
Yes. OpenClaw is licensed under free and SGLang under Apache-2.0. Both can be self-hosted at no software cost.
Can I run OpenClaw and SGLang with Docker?
OpenClaw: yes. SGLang: yes.