---
title: "enchanted vs moby"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/gluonfield-enchanted-vs-moby-moby"
tools: ["gluonfield-enchanted", "moby-moby"]
---

# enchanted vs moby

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick enchanted when enchanted is primarily Swift; moby is Go; pick moby when moby is primarily Go; enchanted is Swift.

[enchanted](https://github.com/gluonfield/enchanted) reports 6.0k GitHub stars, 420 forks, and 111 open issues, last pushed Jul 7, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [enchanted's repository](https://github.com/gluonfield/enchanted) and [moby's repository](https://github.com/moby/moby).

| | [enchanted](/tools/gluonfield-enchanted.md) | [moby](/tools/moby-moby.md) |
| --- | --- | --- |
| Tagline | Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama. | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems |
| Stars | 5,974 | 71,899 |
| Forks | 420 | 19,126 |
| Open issues | 111 | 3,821 |
| Language | Swift | Go |
| Adopt for | - | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Inference & Serving, LLM Frameworks, Speech & Audio | Developer Tools, Inference & Serving, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [enchanted](/tools/gluonfield-enchanted.md) | [moby](/tools/moby-moby.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Very active (96%) |
| Days since push | 7d | 1d |
| Open issues (now) | 111 | 3.8k |
| Owner type | User | Organization |
| Full report | [trust report](/tools/gluonfield-enchanted/trust.md) | [trust report](/tools/moby-moby/trust.md) |

## Choose when

### Choose enchanted if…

- enchanted is primarily Swift; moby is Go.
- Tags unique to enchanted: ios, large-language-model, llama, llama2.
- Also covers Speech & Audio.

### Choose moby if…

- moby is primarily Go; enchanted is Swift.
- Tags unique to moby: containers, docker, go, golang.
- Also covers Developer Tools.
- moby ships Docker support for self-hosted deployment.

## When NOT to use enchanted

- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## When NOT to use moby

- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

## Common questions

### What is the difference between enchanted and moby?

enchanted: Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories.

### When should I choose enchanted over moby?

Choose enchanted over moby when enchanted is primarily Swift; moby is Go; Tags unique to enchanted: ios, large-language-model, llama, llama2; Also covers Speech & Audio.

### When should I choose moby over enchanted?

Choose moby over enchanted when moby is primarily Go; enchanted is Swift; Tags unique to moby: containers, docker, go, golang; Also covers Developer Tools; moby ships Docker support for self-hosted deployment.

### When should I avoid enchanted?

Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### When should I avoid moby?

Developer Tools: A gateway is overkill when you're pinned to a single provider and model. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

### Is enchanted or moby more popular on GitHub?

moby has more GitHub stars (71,899 vs 5,974). Stars measure visibility, not whether either tool fits your constraints.

### Are enchanted and moby open source?

Yes - both are open-source projects on GitHub (enchanted: Apache-2.0, moby: Apache-2.0).

### Where can I find alternatives to enchanted or moby?

GraphCanon lists graph-backed alternatives at [enchanted alternatives](/tools/gluonfield-enchanted/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([enchanted markdown twin](/tools/gluonfield-enchanted/alternatives.md), [moby markdown twin](/tools/moby-moby/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/gluonfield-enchanted-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, enchanted or moby?

enchanted: Active. moby: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for enchanted and moby?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [enchanted trust report](/tools/gluonfield-enchanted/trust); [moby trust report](/tools/moby-moby/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=gluonfield-enchanted`](/api/graphcanon/graph?tool=gluonfield-enchanted)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
