Simplified AI Chat Interface for Web Integration

Enhance your website with a customizable, front-end-only AI chat interface, requiring no backend or cloud services, for real-time user engagement.
Technology No. CW-24-12

This software introduces a web-based, front-end-only chatbot interface designed for seamless integration with OpenAI-compatible APIs, enabling websites to offer real-time AI-driven conversations without backend modifications.

The current market lacks open-source chat interfaces that can be added to websites without significant changes or cloud dependencies. This software fills this gap by providing a front-end solution that facilitates engaging user interactions through AI, with minimal implementation effort.

Developed using HTML, CSS, and JavaScript, this AI Chat Application is tailored for any OpenAI-compatible text completion API, offering a straightforward method to incorporate chat functionalities into websites. Originally crafted for the Open OnDemand science gateway, its design ensures ease of adaptation for other web pages, promising an intuitive and real-time communication experience with users.


  • Backend Independence: Operates without the need for backend integration, simplifying deployment.
  • OpenAI Compatibility: Ensures versatility and quality in AI interactions by connecting with various OpenAI-compatible APIs.
  • Instantaneous Interaction: Provides users with immediate responses, enhancing the overall engagement and satisfaction.
  • Highly Customizable: Allows for personalization of the chatbot’s appearance and behavior to align with specific website aesthetics and user expectations.


  • E-commerce platforms seeking to improve customer support and interaction.
  • Educational websites aiming to offer instant assistance and interactive learning tools.
  • Healthcare portals requiring immediate patient engagement and support.
  • Entertainment and media sites looking to increase user interaction and content engagement.

This software is open source and available at no cost. Download now by visiting the product's GitHub page.

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