--- title: "enchanted vs catai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gluonfield-enchanted-vs-withcatai-catai" tools: ["gluonfield-enchanted", "withcatai-catai"] --- # enchanted vs catai *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 catai if catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple. [enchanted](https://github.com/gluonfield/enchanted) reports 6.0k GitHub stars, 426 forks, and 114 open issues, last pushed Jul 7, 2026. [catai](https://withcatai.github.io/catai/) has 500 stars, 39 forks, and 2 open issues, last pushed Nov 16, 2025. Figures are from public GitHub metadata via [enchanted's repository](https://github.com/gluonfield/enchanted) and [catai's repository](https://github.com/withcatai/catai). | | [enchanted](/tools/gluonfield-enchanted.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Tagline | iOS and macOS app for chatting with self-hosted language models using Ollama. | Run AI assistant locally with Node.js | | Stars | 6,002 | 500 | | Forks | 426 | 39 | | Open issues | 114 | 2 | | Language | Swift | TypeScript | | 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. | catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [enchanted](/tools/gluonfield-enchanted.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 74d | 307d | | Open issues (now) | 114 | 2 | | Stars delta | +16 (30d) | +2 (30d) | | Open issues delta | +1 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/gluonfield-enchanted/trust.md) | [trust report](/tools/withcatai-catai/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: catai - **Adopt for:** catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API. ## Choose when ### Choose enchanted if… - enchanted is primarily Swift; catai is TypeScript. - License: enchanted is Apache-2.0, catai 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 catai if… - catai is primarily TypeScript; enchanted is Swift. - License: catai is MIT, enchanted is Apache-2.0. - Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp. - Also covers AI Agents. - - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities. ## 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 catai - - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API. ## Common questions ### What is the difference between enchanted and catai? enchanted: iOS and macOS app for chatting with self-hosted language models using Ollama.. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories. ### When should I choose enchanted over catai? Choose enchanted over catai when enchanted is primarily Swift; catai is TypeScript; License: enchanted is Apache-2.0, catai 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 catai over enchanted? Choose catai over enchanted when catai is primarily TypeScript; enchanted is Swift; License: catai is MIT, enchanted is Apache-2.0; Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp; Also covers AI Agents; - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities. ### 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 catai? - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API. ### Is enchanted or catai more popular on GitHub? enchanted has more GitHub stars (6,002 vs 500). Stars measure visibility, not whether either tool fits your constraints. ### Are enchanted and catai open source? Yes - both are open-source projects on GitHub (enchanted: Apache-2.0, catai: MIT). ### Where can I find alternatives to enchanted or catai? GraphCanon lists graph-backed alternatives at [enchanted alternatives](/tools/gluonfield-enchanted/alternatives) and [catai alternatives](/tools/withcatai-catai/alternatives) ([enchanted markdown twin](/tools/gluonfield-enchanted/alternatives.md), [catai markdown twin](/tools/withcatai-catai/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-withcatai-catai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, enchanted or catai? enchanted: Steady. catai: Slowing. 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 catai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [enchanted trust report](/tools/gluonfield-enchanted/trust); [catai trust report](/tools/withcatai-catai/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/_