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Chat

Nuxt AI Chatbot Template made with Nuxt UI and Vercel AI SDK.

Chat

Nuxt AI Chatbot Template made with Nuxt UI and Vercel AI SDK.

Github Stars Github Stars: 253
Last Commit Last Commit: Jan 16, 2026 -
First Commit Created: Jan 17, 2026 -
Chat screenshot

Overview

The Nuxt AI Chatbot Template is a robust and versatile application designed to deliver an impressive chat experience powered by AI. Built with Nuxt UI components, this full-featured solution offers an array of functionalities that cater to various use cases, including user authentication, chat history management, and a responsive design that adapts to both light and dark modes. With seamless integration of AI SDK v5, users can expect a fluid and interactive communication experience.

Whether you’re a developer looking to deploy your AI-powered chatbot effortlessly or a business seeking to enhance customer engagement, this template provides the tools needed for quick customization and deployment. Its collaborative features, including a collapsible sidebar and keyboard shortcuts, ensure that navigating the application is intuitive and efficient.

Features

  • Streaming AI Messages: Experience real-time AI responses powered by the efficient AI SDK v5, ensuring a smooth conversation flow.
  • Multiple Model Support: Take advantage of various AI providers through built-in AI Gateway support, allowing for extensive versatility in model selection.
  • User Authentication: Secure your application with authentication capabilities using nuxt-auth-utils, including support for GitHub OAuth.
  • Chat History Persistence: Benefit from chat history stored in an SQLite database, ensuring that users can revisit their conversations anytime.
  • Easy Deployment: Deploy your application to Vercel with a simple setup process—zero configuration required.
  • Blob Storage Options: Utilize multiple file upload storage providers, such as Vercel Blob and Amazon S3, for flexible file management.
  • Customizable Environment: Easily set up your AI provider configurations through a streamlined .env setup, facilitating quick access to various models.
  • Development and Production Support: Start the development server locally or build for production with comprehensive documentation to guide you through the process.