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Introduction: LangUI is an open-source Tailwind CSS library offering free components specifically designed for AI and GPT-based projects. It provides a suite of responsive, reusable components that support both light and dark modes, enabling developers to streamline their AI application development by simplifying UI design.
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LangUI Product Information

What is LangUI?

LangUI is an open-source Tailwind CSS library featuring free components tailored for AI and GPT projects. It offers a collection of responsive, reusable components with built-in light and dark mode support, allowing developers to focus on building AI applications without the overhead of UI design.

How to use LangUI?

Browse the available AI components, copy the code for your chosen component, and paste it directly into your project. LangUI components require no dependencies or installations.

LangUI's Core Features

  • Free, open-source UI components for AI projects
  • Tailwind CSS based
  • Responsive design
  • Dark and light mode support
  • Easy customization
  • Zero dependencies

LangUI Use Cases

#1 Building user interfaces for AI applications
#2 Creating GPT-powered tools
#3 Developing dashboards for AI models
#4 Designing landing pages for AI products

FAQ from LangUI

What is LangUI? +

LangUI is an open-source Tailwind CSS library providing free components designed for your AI and GPT projects.

Is LangUI free to use? +

Yes, LangUI components are MIT licensed and available for free use in both personal and commercial projects.

Are LangUI components responsive? +

Yes, every component is designed to be responsive and function across all screen sizes.

Do LangUI components support dark and light modes? +

Yes, all components include support for both light and dark modes.

LangUI Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to LangUI.

Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

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