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DHTMLX Chatbot

Free

JavaScript widget for AI chatbot UIs

AI ChatbotsFreeFree tier
#youtube#twitter
Inputs: textOutputs: text
Type
Saas
Company
DHTMLX ChatBot
Visit Website GitHub
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About DHTMLX Chatbot

DHTMLX ChatBot is a MIT-licensed JavaScript widget designed for creating chatbot UIs for AI support agents. It is flexible, configurable, and built by expert JavaScript developers. It allows integration with any large language model (LLM) and offers customizable features such as different chat patterns, typing speed control, and markdown support. The widget includes a sidebar for managing chats with different agents and is lightweight, responsive, and mobile-friendly.

How to Use

Use DHTMLX ChatBot by downloading the widget, configuring it with your preferred LLM, and integrating it into your web application. Customize the UI using available options for chat patterns, typing speed, and markdown support. Refer to the documentation and samples for detailed instructions and examples.

DHTMLX ChatBot's

Key Features

  • Customizable UI with various message display modes
  • Integration with any LLM system (ChatGPT, Claude 3, Gemini, etc.)
  • Lightweight and responsive design
  • MIT license for maximum flexibility
  • Support for Markdown and typewriter effect

Use Cases

  • Creating AI-powered customer support chatbots for websites
  • Building interactive AI assistants for web applications
  • Developing internal communication tools with AI integration

Key Features

Customizable UI with various message display modes
Integration with any LLM system (ChatGPT, Claude 3, Gemini, etc.)
Lightweight and responsive design
MIT license for maximum flexibility
Support for Markdown and typewriter effect

Pros & Cons

Pros
  • MIT license enables free use and modification
  • Works with any LLM backend
  • Customizable UI with multiple chat patterns
  • Responsive and mobile-friendly
  • Includes Markdown rendering and typewriter animation
Cons
  • Requires JavaScript knowledge to integrate and customize
  • Only provides the UI layer; backend LLM integration must be built separately

Best For

Creating AI-powered customer support chatbots for websitesBuilding interactive AI assistants for web applicationsDeveloping internal communication tools with AI integration

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