Hexabot

Hexabot is an open-source AI chatbot builder that empowers businesses and developers to create multilingual, multi-channel chatbots with ease. Designed for flexibility and customization, Hexabot offers a visual drag-and-drop interface, robust natural language understanding (NLU), and seamless integration with large language models (LLMs) like ChatGPT and Gemini. Whether you're aiming to automate customer support, enhance e-commerce experiences, or develop educational assistants, Hexabot provides the tools to build intelligent, responsive chatbots tailored to your needs.

Key Features

• Visual Flow Editor: Design chatbot conversations effortlessly using an intuitive drag-and-drop interface, supporting various message types like text, quick replies, and carousels.
• Multi-Channel & Multilingual Support: Deploy chatbots across web, mobile, and social media platforms, with built-in translation and language detection to engage users in their preferred language.
• Extensible Plugin System: Enhance functionality by developing custom plugins, enabling features like text-to-action responses and third-party integrations.
• Advanced NLU & LLM Integration: Leverage built-in NLU engines and integrate with LLMs such as ChatGPT, Gemini, or Ollama to provide intelligent, context-aware responses.

Use Cases

• Customer Support Automation: Handle routine inquiries across multiple channels, providing instant, accurate responses and freeing up human agents for complex issues.
• E-Commerce Virtual Assistant: Guide customers through product selections, offer personalized recommendations, and assist with purchases to enhance the shopping experience.
• Educational AI Tutor: Provide students with instant answers to queries, deliver learning materials, and simulate interactive teaching experiences.

Technical Specifications

• Open-Source Platform: Licensed under AGPL-3.0, allowing for on-premise deployment and full access to the source code for customization.
• Comprehensive Tech Stack: Built with React/Next.js for the frontend, NestJS for the backend, and a Python-based NLU engine, all orchestrated with Docker for easy deployment.
• Real-Time Inbox & Handover: Monitor live conversations and seamlessly transfer chats to human agents when necessary, ensuring a smooth user experience.