--- title: "Atomic-Chat vs enchanted" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/atomicbot-ai-atomic-chat-vs-gluonfield-enchanted" tools: ["atomicbot-ai-atomic-chat", "gluonfield-enchanted"] --- # Atomic-Chat vs enchanted *GraphCanon updated Sep 20, 2026* ## Verdict Pick Atomic-Chat if atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline; 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. [Atomic-Chat](https://atomic.chat) reports 1.5k GitHub stars, 178 forks, and 55 open issues, last pushed Sep 19, 2026. [enchanted](https://github.com/gluonfield/enchanted) has 6.0k stars, 426 forks, and 114 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [Atomic-Chat's repository](https://github.com/AtomicBot-ai/Atomic-Chat) and [enchanted's repository](https://github.com/gluonfield/enchanted). | | [Atomic-Chat](/tools/atomicbot-ai-atomic-chat.md) | [enchanted](/tools/gluonfield-enchanted.md) | | --- | --- | --- | | Tagline | Local AI app and inference engine for agents | iOS and macOS app for chatting with self-hosted language models using Ollama. | | Stars | 1,526 | 6,002 | | Forks | 178 | 426 | | Open issues | 55 | 114 | | Language | TypeScript | Swift | | Adopt for | Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. | 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. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | Developer Tools, Inference & Serving | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Atomic-Chat](/tools/atomicbot-ai-atomic-chat.md) | [enchanted](/tools/gluonfield-enchanted.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 74d | | Open issues (now) | 55 | 114 | | Stars delta | +368 (30d) | +16 (30d) | | Open issues delta | +11 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/atomicbot-ai-atomic-chat/trust.md) | [trust report](/tools/gluonfield-enchanted/trust.md) | ## Decision facts: Atomic-Chat - **Hosting:** self hosted - **Requirements:** Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally. - **Adopt for:** Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline. ## 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. ## Choose when ### Choose Atomic-Chat if… - Atomic-Chat is primarily TypeScript; enchanted is Swift. - License: Atomic-Chat is Other, enchanted is Apache-2.0. - Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.. - Tags unique to Atomic-Chat: ai-agent, local-first, open-source. - Also covers Developer Tools. - When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required. ### Choose enchanted if… - enchanted is primarily Swift; Atomic-Chat is TypeScript. - License: enchanted is Apache-2.0, Atomic-Chat is Other. - 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 NOT to use Atomic-Chat - Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. - Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen. ## 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. ## Common questions ### What is the difference between Atomic-Chat and enchanted? Atomic-Chat: Local AI app and inference engine for agents. enchanted: iOS and macOS app for chatting with self-hosted language models using Ollama.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Atomic-Chat over enchanted? Choose Atomic-Chat over enchanted when Atomic-Chat is primarily TypeScript; enchanted is Swift; License: Atomic-Chat is Other, enchanted is Apache-2.0; Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.; Tags unique to Atomic-Chat: ai-agent, local-first, open-source; Also covers Developer Tools; When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required. ### When should I choose enchanted over Atomic-Chat? Choose enchanted over Atomic-Chat when enchanted is primarily Swift; Atomic-Chat is TypeScript; License: enchanted is Apache-2.0, Atomic-Chat is Other; 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 avoid Atomic-Chat? Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen. ### 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. ### Is Atomic-Chat or enchanted more popular on GitHub? enchanted has more GitHub stars (6,002 vs 1,526). Stars measure visibility, not whether either tool fits your constraints. ### Are Atomic-Chat and enchanted open source? Yes - both are open-source projects on GitHub (Atomic-Chat: Other, enchanted: Apache-2.0). ### Where can I find alternatives to Atomic-Chat or enchanted? GraphCanon lists graph-backed alternatives at [Atomic-Chat alternatives](/tools/atomicbot-ai-atomic-chat/alternatives) and [enchanted alternatives](/tools/gluonfield-enchanted/alternatives) ([Atomic-Chat markdown twin](/tools/atomicbot-ai-atomic-chat/alternatives.md), [enchanted markdown twin](/tools/gluonfield-enchanted/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/atomicbot-ai-atomic-chat-vs-gluonfield-enchanted.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Atomic-Chat or enchanted? Atomic-Chat: Very active. enchanted: Steady. 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 Atomic-Chat and enchanted? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Atomic-Chat trust report](/tools/atomicbot-ai-atomic-chat/trust); [enchanted trust report](/tools/gluonfield-enchanted/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=atomicbot-ai-atomic-chat`](/api/graphcanon/graph?tool=atomicbot-ai-atomic-chat) - 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/_