Ollama vs Serge
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?
Ollama
Run large language models locally with a simple CLI and API
VS
Serge
Self-hosted LLaMA chat UI with no API keys needed
| Feature | Ollama | Serge |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | MIT | Apache-2.0 |
| Language | Go | Svelte |
| Setup difficulty | Easy | Easy |
| Min. RAM | 8,192 MB | 8,192 MB |
| Deployment | docker, binary, bare-metal | docker |
| GitHub stars | ★ 178,027 | ★ 5,716 |
| First released | 2023 | 2023 |
| Replaces | ChatGPT, OpenAI API | ChatGPT |
Why pick each one
Choose Serge if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- First-class Docker support for quick deployment
- Mature project with 5.7k GitHub stars
Frequently asked questions
Is Ollama or Serge better?
Neither is universally better. Ollama has the larger community; both share a easy setup difficulty, so the decision comes down to features and licensing.
Are Ollama and Serge free and open-source?
Yes. Ollama is licensed under MIT and Serge under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Ollama and Serge with Docker?
Ollama: yes. Serge: yes.