--- title: "enchanted vs LocalAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gluonfield-enchanted-vs-mudler-localai" tools: ["gluonfield-enchanted", "mudler-localai"] --- # enchanted vs LocalAI *GraphCanon updated Jul 15, 2026* ## Verdict Pick enchanted when enchanted is primarily Swift; LocalAI is Go; pick LocalAI when localAI 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. [LocalAI](https://localai.io) has 47k stars, 4.2k forks, and 207 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [enchanted's repository](https://github.com/gluonfield/enchanted) and [LocalAI's repository](https://github.com/mudler/LocalAI). | | [enchanted](/tools/gluonfield-enchanted.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Tagline | Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama. | Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required. | | Stars | 5,974 | 47,477 | | Forks | 420 | 4,221 | | Open issues | 111 | 207 | | Language | Swift | Go | | Adopt for | - | LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving, LLM Frameworks, Speech & Audio | Computer Vision, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [enchanted](/tools/gluonfield-enchanted.md) | [LocalAI](/tools/mudler-localai.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 7d | 0d | | Open issues (now) | 111 | 207 | | Full report | [trust report](/tools/gluonfield-enchanted/trust.md) | [trust report](/tools/mudler-localai/trust.md) | ## Decision facts: LocalAI - **Pricing:** freemium - As an open-source project under the MIT license, it is free to use and distribute. - **Adopt for:** LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU. ## Choose when ### Choose enchanted if… - enchanted is primarily Swift; LocalAI is Go. - License: enchanted is Apache-2.0, LocalAI is MIT. - Tags unique to enchanted: ios, large-language-model, llama, llama2. - Also covers Inference & Serving. ### Choose LocalAI if… - LocalAI is primarily Go; enchanted is Swift. - License: LocalAI is MIT, enchanted is Apache-2.0. - Pricing: As an open-source project under the MIT license, it is free to use and distribute.. - Tags unique to LocalAI: agents, ai, api, audio generation. - Also covers Computer Vision. - LocalAI ships Docker support for self-hosted deployment. - Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ## 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 LocalAI - Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. - Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ## Common questions ### What is the difference between enchanted and LocalAI? enchanted: Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.. LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. See the comparison table for live GitHub stats and shared categories. ### When should I choose enchanted over LocalAI? Choose enchanted over LocalAI when enchanted is primarily Swift; LocalAI is Go; License: enchanted is Apache-2.0, LocalAI is MIT; Tags unique to enchanted: ios, large-language-model, llama, llama2; Also covers Inference & Serving. ### When should I choose LocalAI over enchanted? Choose LocalAI over enchanted when LocalAI is primarily Go; enchanted is Swift; License: LocalAI is MIT, enchanted is Apache-2.0; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; Tags unique to LocalAI: agents, ai, api, audio generation; Also covers Computer Vision; LocalAI ships Docker support for self-hosted deployment; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware. ### 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 LocalAI? Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written). ### Is enchanted or LocalAI more popular on GitHub? LocalAI has more GitHub stars (47,477 vs 5,974). Stars measure visibility, not whether either tool fits your constraints. ### Are enchanted and LocalAI open source? Yes - both are open-source projects on GitHub (enchanted: Apache-2.0, LocalAI: MIT). ### Where can I find alternatives to enchanted or LocalAI? GraphCanon lists graph-backed alternatives at [enchanted alternatives](/tools/gluonfield-enchanted/alternatives) and [LocalAI alternatives](/tools/mudler-localai/alternatives) ([enchanted markdown twin](/tools/gluonfield-enchanted/alternatives.md), [LocalAI markdown twin](/tools/mudler-localai/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-mudler-localai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, enchanted or LocalAI? enchanted: Active. LocalAI: 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 LocalAI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [enchanted trust report](/tools/gluonfield-enchanted/trust); [LocalAI trust report](/tools/mudler-localai/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/_