Page Assist vs vLLM
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Page Assist
Browser extension to use local AI models on the web
VS
vLLM
High-throughput LLM serving engine with PagedAttention
| Feature | Page Assist | vLLM |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 256 MB | 16,384 MB |
| Deployment | bare-metal, source | docker, kubernetes, bare-metal |
| GitHub stars | ★ 8,125 | ★ 88,482 |
| First released | 2024 | 2023 |
| Replaces | ChatGPT | OpenAI API |
Why pick each one
Choose Page Assist if…
- Released under the MIT license
- Easy to set up — beginner-friendly
- Mature project with 8.1k GitHub stars
- Written in TypeScript
Choose vLLM if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 88.5k GitHub stars
Frequently asked questions
Is Page Assist or vLLM better?
Neither is universally better. vLLM has the larger community, while Page Assist is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Page Assist and vLLM free and open-source?
Yes. Page Assist is licensed under MIT and vLLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Page Assist and vLLM with Docker?
Page Assist: check the project docs for container support. vLLM: yes.