Enchanted vs llama.cpp
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?
Enchanted
Native Ollama client for iOS and macOS
VS
llama.cpp
High-performance LLM inference in plain C/C++
| Feature | Enchanted | llama.cpp |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Swift | C++ |
| Setup difficulty | Easy | Hard |
| Min. RAM | 256 MB | 8,192 MB |
| Deployment | binary | binary, bare-metal, docker |
| GitHub stars | ★ 5,983 | ★ 123,039 |
| First released | 2024 | 2023 |
| Replaces | ChatGPT | OpenAI API |
Why pick each one
Choose Enchanted if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- Mature project with 6k GitHub stars
- Written in Swift
Choose llama.cpp if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 123k GitHub stars
- Written in C++
Frequently asked questions
Is Enchanted or llama.cpp better?
Neither is universally better. llama.cpp has the larger community, while Enchanted is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Enchanted and llama.cpp free and open-source?
Yes. Enchanted is licensed under Apache-2.0 and llama.cpp under MIT. Both can be self-hosted at no software cost.
Can I run Enchanted and llama.cpp with Docker?
Enchanted: check the project docs for container support. llama.cpp: yes.