--- title: "tuui vs catai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ai-ql-tuui-vs-withcatai-catai" tools: ["ai-ql-tuui", "withcatai-catai"] --- # tuui vs catai *GraphCanon updated Aug 13, 2026* ## Verdict Pick tuui if tuui stands out for its support of cross-vendor LLM API orchestration and the Model Context Protocol, suitable for developers aiming to unify AI models from different vendors; 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 API. [tuui](https://www.tuui.com/) reports 1.2k GitHub stars, 105 forks, and 5 open issues, last pushed May 14, 2026. [catai](https://withcatai.github.io/catai/) has 498 stars, 39 forks, and 2 open issues, last pushed Nov 16, 2025. Figures are from public GitHub metadata via [tuui's repository](https://github.com/AI-QL/tuui) and [catai's repository](https://github.com/withcatai/catai). | | [tuui](/tools/ai-ql-tuui.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Tagline | A desktop MCP client for cross-vendor LLM API orchestration | Run AI assistant locally with Node.js | | Stars | 1,153 | 498 | | Forks | 105 | 39 | | Open issues | 5 | 2 | | Language | TypeScript | TypeScript | | Adopt for | Tuui stands out for its support of cross-vendor LLM API orchestration and the Model Context Protocol, suitable for developers aiming to unify AI models from different vendors. | 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 | Tuui is provided under the Apache-2.0 License. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tuui](/tools/ai-ql-tuui.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 73d | 269d | | Open issues (now) | 5 | 2 | | Full report | [trust report](/tools/ai-ql-tuui/trust.md) | [trust report](/tools/withcatai-catai/trust.md) | ## Shared compatibility - **Node.js**: [tuui](/tools/ai-ql-tuui.md) - Node.js runtime; [catai](/tools/withcatai-catai.md) - Node.js runtime ## Decision facts: tuui - **Pricing:** freemium - Available for free to use with no restrictions on basic features making it suitable for both open source projects and commercial applications given the terms of its Apache-2.0 license. - **Requirements:** N/A - **Adopt for:** Tuui stands out for its support of cross-vendor LLM API orchestration and the Model Context Protocol, suitable for developers aiming to unify AI models from different vendors. - **License detail:** Tuui is provided under the Apache-2.0 License. ## 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 tuui if… - License: tuui is Apache-2.0, catai is MIT. - Pricing: Available for free to use with no restrictions on basic features making it suitable for both open source projects and commercial applications given the terms of its Apache-2.0 license.. - Requirements: N/A. - Tags unique to tuui: agent, agentic-ai, ai-playground, anthropic. - Also covers LLM Frameworks. - tuui ships an MCP server manifest. - Use Tuui when you need a desktop client that can manage APIs from multiple LLM vendors in one place. ### Choose catai if… - License: catai is MIT, tuui is Apache-2.0. - Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp. - Also covers Inference & Serving. - - 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 tuui - Do not use Tuui if you are working exclusively with a single vendor's API set and do not require MCP. - If your development environment does not allow for desktop applications or you strictly adhere to web-based solutions only, Tuui might not be the appropriate choice. ## 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 tuui and catai? tuui: A desktop MCP client for cross-vendor LLM API orchestration. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories. ### When should I choose tuui over catai? Choose tuui over catai when License: tuui is Apache-2.0, catai is MIT; Pricing: Available for free to use with no restrictions on basic features making it suitable for both open source projects and commercial applications given the terms of its Apache-2.0 license.; Requirements: N/A; Tags unique to tuui: agent, agentic-ai, ai-playground, anthropic; Also covers LLM Frameworks; tuui ships an MCP server manifest; Use Tuui when you need a desktop client that can manage APIs from multiple LLM vendors in one place. ### When should I choose catai over tuui? Choose catai over tuui when License: catai is MIT, tuui is Apache-2.0; Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp; Also covers Inference & Serving; - 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 tuui? Do not use Tuui if you are working exclusively with a single vendor's API set and do not require MCP. If your development environment does not allow for desktop applications or you strictly adhere to web-based solutions only, Tuui might not be the appropriate choice. ### 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 tuui or catai more popular on GitHub? tuui has more GitHub stars (1,153 vs 498). Stars measure visibility, not whether either tool fits your constraints. ### Are tuui and catai open source? Yes - both are open-source projects on GitHub (tuui: Apache-2.0, catai: MIT). ### Where can I find alternatives to tuui or catai? GraphCanon lists graph-backed alternatives at [tuui alternatives](/tools/ai-ql-tuui/alternatives) and [catai alternatives](/tools/withcatai-catai/alternatives) ([tuui markdown twin](/tools/ai-ql-tuui/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/ai-ql-tuui-vs-withcatai-catai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tuui or catai? tuui: 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 tuui and catai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tuui trust report](/tools/ai-ql-tuui/trust); [catai trust report](/tools/withcatai-catai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ai-ql-tuui`](/api/graphcanon/graph?tool=ai-ql-tuui) - 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/_