Hexabot
Open-source AI chatbot and agent builder
About Hexabot
Hexabot is an open-source AI-powered chatbot and agent builder that lets you create and manage multi-channel, multilingual conversational experiences. Built on a modern stack with NestJS backend and React admin panel, it offers a visual drag-and-drop editor, LLM integrations, and a plugin system for extensibility.
Pros & Cons
Pros
- Fully open-source with AGPLv3 license allowing complete customization
- Self-hosted deployment gives full control over data privacy and security
- Supports multiple LLM providers including OpenAI, Ollama, Mistral, and Gemini
- Visual drag-and-drop editor makes building flows accessible without deep coding
- Multi-channel and multilingual support out of the box
- Active plugin ecosystem for extending functionality
Cons
- Requires technical knowledge to self-host and maintain the infrastructure
- No managed cloud offering means you handle all DevOps responsibilities
- Smaller community compared to established commercial chatbot platforms
- Documentation is still growing and may lack advanced use case examples
Key Features
Visual Flow Editor
Design chatbot conversation flows with an intuitive drag-and-drop interface supporting text messages, quick replies, and carousels
Multi-Channel Support
Deploy chatbots across web widgets, Facebook Messenger, and custom integrations for consistent experiences
LLM Integration
Connect to OpenAI, Ollama, Mistral, Gemini, and other LLM providers through built-in RAG plugin
Multilingual Support
Build chatbots that interact with users in multiple languages with built-in language management
NLP & Intent Detection
Train machine learning models to detect user intent, extract entities like dates, locations, and names from conversations
Plugin Extensibility
Extend functionality with extensions from the Extension Library for text-to-action responses and third-party integrations
Self-Hosted Deployment
Deploy on your own servers with Docker Compose for maximum data privacy and control
Analytics Dashboard
Track key metrics, monitor chatbot performance, and gain insights into user interactions
Pricing
- Full source code access
- Visual flow editor
- Multi-channel support
- LLM integrations
- Plugin system
- Self-hosted deployment
- Community support
Best For
Customer Support Automation
Automate responses to common customer queries like billing, troubleshooting, and FAQs to reduce support ticket volume
Lead Qualification
Deploy conversational chatbots on websites to qualify leads, collect contact information, and route prospects to sales teams
Internal Knowledge Base Assistant
Build AI-powered assistants that help employees find answers from internal documentation using RAG capabilities
E-commerce Product Guidance
Create chatbots that help shoppers find products, check availability, and get personalized recommendations
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