Hexabot: Open-Source AI Chatbot and Agent Builder
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Summary
Hexabot is an open-source AI chatbot and agent builder designed for creating and managing multi-channel and multilingual conversational agents with ease. It offers extensive customization, powerful text-to-action capabilities, and supports integration with various LLM models, making it a flexible solution for developers. This project simplifies the deployment and management of sophisticated AI-powered interactions across different platforms.
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Introduction
Hexabot is an open-source AI chatbot and agent builder that simplifies the creation and management of multi-channel and multilingual conversational agents. Designed for flexibility and customization, it offers powerful text-to-action capabilities and supports integration with various Large Language Models (LLMs) like Ollama, ChatGPT, Mistral, and Gemini. Originally a closed-source project, Hexabot version 2 has been open-sourced to foster community contributions and allow developers to extend its platform with a rich extension library.
Installation
To get started with Hexabot, you'll need Node.js (>= 20.18.1), npm, and Docker installed. The process begins by installing the Hexabot CLI globally, which provides easy access to its commands.
First, install the CLI:
npm install -g hexabot-cli
Next, create a new project, navigate into its directory, and install dependencies:
hexabot create my-chatbot
cd my-chatbot
npm install
Initialize your environment by copying the example configuration:
hexabot init
Examples
Once your project is set up, you can run Hexabot in development mode. This command starts the necessary services, including optional ones like Ollama:
hexabot dev --services ollama
The UI Admin Panel will be accessible via http://localhost:8080. The default credentials are:
- Username:
admin@admin.admin - Password:
adminadmin
This allows you to immediately begin designing and managing your chatbot flows using the intuitive visual editor.
Why Use Hexabot
Hexabot stands out for its comprehensive feature set and developer-friendly approach. It offers robust LLM and NLU support, enabling intelligent responses and intent detection. Its multi-channel and multi-lingual capabilities ensure a consistent user experience across various platforms and languages. The visual editor simplifies chatbot flow design, while the powerful plugin system allows for extensive customization and integration with third-party systems. Features like a knowledge base, user roles, contextual data, and an analytics dashboard provide everything needed to build, manage, and monitor sophisticated AI agents. Being open-source, it also benefits from community-driven enhancements and transparency.
Links
- GitHub Repository: https://github.com/Hexastack/Hexabot
- Official Website: https://hexabot.ai
- Documentation: https://docs.hexabot.ai
- Discord Community: https://discord.gg/rNb9t2MFkG
- Product Hunt: https://www.producthunt.com/posts/hexabot
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