--- title: "enchanted vs ChatMock" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gluonfield-enchanted-vs-raybytes-chatmock" tools: ["gluonfield-enchanted", "raybytes-chatmock"] --- # enchanted vs ChatMock *GraphCanon updated Sep 20, 2026* ## Verdict Pick enchanted if enchanted is an open-source iOS and macOS app facilitating interaction with self-hosted language models through the Ollama server framework, offering a secure and private multimodal interface for chatting; pick ChatMock if chatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. [enchanted](https://github.com/gluonfield/enchanted) reports 6.0k GitHub stars, 426 forks, and 114 open issues, last pushed Jul 7, 2026. [ChatMock](https://github.com/RayBytes/ChatMock) has 1.5k stars, 212 forks, and 14 open issues, last pushed Sep 1, 2026. Figures are from public GitHub metadata via [enchanted's repository](https://github.com/gluonfield/enchanted) and [ChatMock's repository](https://github.com/RayBytes/ChatMock). | | [enchanted](/tools/gluonfield-enchanted.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Tagline | iOS and macOS app for chatting with self-hosted language models using Ollama. | OpenAI & Ollama compatible API powered by Codex | | Stars | 6,002 | 1,545 | | Forks | 426 | 212 | | Open issues | 114 | 14 | | Language | Swift | Python | | Adopt for | Enchanted is an open-source iOS and macOS app facilitating interaction with self-hosted language models through the Ollama server framework, offering a secure and private multimodal interface for chatting. | ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [enchanted](/tools/gluonfield-enchanted.md) | [ChatMock](/tools/raybytes-chatmock.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 74d | 19d | | Open issues (now) | 114 | 14 | | Stars delta | +16 (30d) | +17 (30d) | | Open issues delta | +1 (30d) | +7 (30d) | | Full report | [trust report](/tools/gluonfield-enchanted/trust.md) | [trust report](/tools/raybytes-chatmock/trust.md) | ## Decision facts: enchanted - **Adopt for:** Enchanted is an open-source iOS and macOS app facilitating interaction with self-hosted language models through the Ollama server framework, offering a secure and private multimodal interface for chatting. ## Decision facts: ChatMock - **Pricing:** freemium - Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** ChatMock offers an AI-based chat service compatible with OpenAI and Ollama APIs using Codex for response processing. ## Choose when ### Choose enchanted if… - enchanted is primarily Swift; ChatMock is Python. - License: enchanted is Apache-2.0, ChatMock is MIT. - Tags unique to enchanted: ios, large-language-model, llama2, macos. - Use Enchanted if you need a user-friendly application specifically designed to work across Apple devices including Vision Pro. ### Choose ChatMock if… - ChatMock is primarily Python; enchanted is Swift. - License: ChatMock is MIT, enchanted is Apache-2.0. - Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to ChatMock: ai, chatgpt, codex, gpt-5. - Also covers LLM Frameworks. - ChatMock ships Docker support for self-hosted deployment. - Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ## When NOT to use enchanted - Avoid using Enchanted if support for non-Apple ecosystems is required as it exclusively operates within the Apple ecosystem. - Do not use this tool if your workflow does not include a self-hosted Ollama server, since the app cannot operate without one. ## When NOT to use ChatMock - If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. - Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ## Common questions ### What is the difference between enchanted and ChatMock? enchanted: iOS and macOS app for chatting with self-hosted language models using Ollama.. ChatMock: OpenAI & Ollama compatible API powered by Codex. See the comparison table for live GitHub stats and shared categories. ### When should I choose enchanted over ChatMock? Choose enchanted over ChatMock when enchanted is primarily Swift; ChatMock is Python; License: enchanted is Apache-2.0, ChatMock is MIT; Tags unique to enchanted: ios, large-language-model, llama2, macos; Use Enchanted if you need a user-friendly application specifically designed to work across Apple devices including Vision Pro. ### When should I choose ChatMock over enchanted? Choose ChatMock over enchanted when ChatMock is primarily Python; enchanted is Swift; License: ChatMock is MIT, enchanted is Apache-2.0; Pricing: Open-source under MIT license, meaning free to use for all development phases; premium features or commercial support may apply at a later stage if introduced by the maintainers.; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to ChatMock: ai, chatgpt, codex, gpt-5; Also covers LLM Frameworks; ChatMock ships Docker support for self-hosted deployment; Developers leveraging OpenAI or Ollama APIs looking to integrate a chat component that is powered by Codex can opt for ChatMock. ### When should I avoid enchanted? Avoid using Enchanted if support for non-Apple ecosystems is required as it exclusively operates within the Apple ecosystem. Do not use this tool if your workflow does not include a self-hosted Ollama server, since the app cannot operate without one. ### When should I avoid ChatMock? If your project specifically requires an alternative chat framework not compatible with or leveraging Codex or OpenAI/Ollama APIs, avoid using ChatMock. Avoid this tool if you require a more diversified set of AI models not integrated within OpenAI or Ollama ecosystems, as this could limit flexibility over other tools. ### Is enchanted or ChatMock more popular on GitHub? enchanted has more GitHub stars (6,002 vs 1,545). Stars measure visibility, not whether either tool fits your constraints. ### Are enchanted and ChatMock open source? Yes - both are open-source projects on GitHub (enchanted: Apache-2.0, ChatMock: MIT). ### Where can I find alternatives to enchanted or ChatMock? GraphCanon lists graph-backed alternatives at [enchanted alternatives](/tools/gluonfield-enchanted/alternatives) and [ChatMock alternatives](/tools/raybytes-chatmock/alternatives) ([enchanted markdown twin](/tools/gluonfield-enchanted/alternatives.md), [ChatMock markdown twin](/tools/raybytes-chatmock/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-raybytes-chatmock.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, enchanted or ChatMock? enchanted: Steady. ChatMock: 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 ChatMock? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [enchanted trust report](/tools/gluonfield-enchanted/trust); [ChatMock trust report](/tools/raybytes-chatmock/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/_