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Nlux

The π—£π—Όπ˜„π—²π—Ώπ—³π˜‚π—Ή Conversational AI JavaScript Library β€”Β UI for any LLM, supporting LangChain / HuggingFace / Vercel AI, and more React, Next.js, and plain JavaScript

Nlux

The π—£π—Όπ˜„π—²π—Ώπ—³π˜‚π—Ή Conversational AI JavaScript Library β€”Β UI for any LLM, supporting LangChain / HuggingFace / Vercel AI, and more React, Next.js, and plain JavaScript

Author Avatar Theme by nlkitai
Github Stars Github Stars: 1317
Last Commit Last Commit: Sep 7, 2024 -
First Commit Created: Aug 8, 2025 -
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Overview

NLUX is an innovative open-source library that effortlessly bridges React and JavaScript to create conversational AI interfaces. Whether you’re a seasoned developer or just starting, NLUX enables you to integrate powerful Large Language Models (LLMs) into your web applications with remarkably little effort. With just a few lines of code, you can elevate your app’s interactive capabilities, making it an ideal solution for anyone looking to leverage conversational AI technology.

This library supports various frameworks, allowing developers to quickly spin up projects using Next.js, React, or Vanilla TypeScript. The ease of implementation and the flexibility of customization make NLUX an appealing choice for developers who want to enrich user experiences through seamless AI interaction.

Features

  • Build AI Chat Interfaces In Minutes: Create high-quality conversational AI interfaces quickly and easily with minimal coding.
  • React Components & Hooks: Utilize the <AiChat /> component for UI and the useChatAdapter hook for straightforward integration.
  • Next.js & Vercel AI Support: Enjoy out-of-the-box compatibility with Next.js and Vercel, complete with demos and examples.
  • React Server Components Compatibility: Works seamlessly with Next.js or any RSC-compatible framework, enhancing performance.
  • LLM Adapters: Access integrations for popular APIs like ChatGPT and Hugging Face, providing versatility in AI capabilities.
  • Custom Adapter Creation: Design your own adapters for any LLM with support for both stream and batch modes.
  • User Persona Customization: Enhance conversations by customizing participant personas with specific names, images, and descriptions.
  • Zero Dependency: A lightweight codebase ensures no additional external UI libraries are required, promoting efficiency in development.