Enchanted vs Ollama
A side-by-side comparison of two self-hosted local llm runners options — licensing, setup difficulty, resource needs, and what each one replaces.
Ollama
Run large language models locally with a simple CLI and API
| Feature | Enchanted | Ollama |
|---|---|---|
| Deploy effort | Read-the-docs project | ≈5-minute setup |
| Health score | 85 · Excellent | 100 · Excellent |
| Category | Local LLM Runners | Local LLM Runners |
| License | Apache-2.0 | MIT |
| Language | Swift | Go |
| Setup difficulty | Easy | Easy |
| Min. RAM | 256 MB | 8,192 MB |
| Deployment | binary | docker, binary, bare-metal |
| GitHub stars | ★ 6,002 | ★ 181,557 |
| First released | 2024 | 2023 |
| Replaces | ChatGPT | ChatGPT, OpenAI API |
What are Enchanted and Ollama?
Enchanted
Enchanted is an open-source, privacy-focused app that connects to a self-hosted Ollama server from Apple devices. It provides a native chat experience for private local models on the go.
- Native Apple app
- Connects to private Ollama
- Conversation history
- Prompt completions
Ollama
Ollama lets you download, run, and manage open large language models such as Llama, Mistral, Gemma, and Qwen on your own machine. It provides a simple command line interface and a built-in REST API so other tools can use local models.
- One-command model downloads
- OpenAI-compatible API
- GPU and CPU support
- Modelfile customization
Enchanted vs Ollama: key differences
Enchanted is written in Swift, while Ollama is built with Go. Licensing differs — Apache-2.0 for Enchanted versus MIT for Ollama. Enchanted is the lighter option, starting around 256 MB of RAM against 8,192 MB for Ollama. Ollama has the considerably larger community, at 181,557 GitHub stars versus 6,002. Ollama lists first-class Docker deployment; Enchanted does not.
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 Ollama if…
- Extremely easy to set up
- Large model library
Watch out for
- Limited fine-grained inference tuning
Frequently asked questions
Is Enchanted or Ollama 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 Enchanted and Ollama free and open-source?
Yes. Enchanted is licensed under Apache-2.0 and Ollama under MIT. Both can be self-hosted at no software cost.
Can I run Enchanted and Ollama with Docker?
Enchanted: check the project docs for container support. Ollama: yes.
Which is lighter on resources, Enchanted or Ollama?
Enchanted has the smaller minimum footprint at 256 MB of RAM, compared to about 8,192 MB for Ollama. Real-world usage depends on library size, user count, and enabled features.