Enchanted vs MLC LLM
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
MLC LLM
Universal LLM deployment engine for any hardware
| Feature | Enchanted | MLC LLM |
|---|---|---|
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | Apache-2.0 |
| Language | Swift | Python |
| Setup difficulty | Easy | Hard |
| Min. RAM | 256 MB | 4,096 MB |
| Deployment | binary | source, binary |
| GitHub stars | ★ 5,983 | ★ 23,040 |
| 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 MLC LLM if…
- Released under the Apache-2.0 license
- Mature project with 23k GitHub stars
- Written in Python
Frequently asked questions
Is Enchanted or MLC LLM better?
Neither is universally better. MLC LLM 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 MLC LLM free and open-source?
Yes. Enchanted is licensed under Apache-2.0 and MLC LLM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Enchanted and MLC LLM with Docker?
Enchanted: check the project docs for container support. MLC LLM: check the project docs for container support.