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Hexabot

Hexabot helps you build and deploy AI chatbots and agents easily. It's open-source, works across many platforms, and lets you customize everything with a simple visual editor. Both tech-savvy people and beginners can use it to create smart conversations.

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About Hexabot

Who It's For

This tool is for anyone who wants to build AI chatbots, whether you're a developer or just starting out. Businesses can use it to create custom chat solutions for their customers. It's also great for customer support teams to manage conversations.

What You Get

You get a complete system to create smart AI chatbots that can talk to people on many platforms like your website or social media. It comes with tools to build without code, understand what users mean, and even connect with advanced AI models. Plus, it's fully open-source, so you can adapt it to your exact needs.

How It Works

To get started, you install a few things with simple commands on your computer. Then, you can easily set up a new project. Once it's running, you use a visual editor to design how your chatbot talks and what it does, often by dragging and dropping elements. This lets you build your AI agent step-by-step.

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Features & Capabilities

🤖 Core AI Development

Intuitive AI Chatbot Builder

Create, customize, and deploy powerful AI chatbots and agents using an intuitive interface.

Advanced AI Capabilities

Enhance conversational AI projects with advanced artificial intelligence functionalities and tools.

🔗 Multi-Channel & Integrations

Seamless Multi-Channel Experience

Connects to multiple messaging platforms, providing a unified customer experience across all channels.

Custom Channel Building

Enables developers to build and integrate unique custom channels tailored to specific business needs.

Centralized Conversation Management

Allows customer support agents to manage all conversations from various channels centrally in one platform.

🚀 Open Source & Community

100% Open Source Core

Provides full access to the codebase for on-premise deployment, customization, and transparency.

Community-Driven Extensions

Fosters collaboration for sharing and building extensions, including plugins, channels, and helpers.

On-Premise Deployment

Offers the flexibility to deploy the platform within your own infrastructure with full control.

Use Cases

Automating Multi-Channel Customer Support

Businesses often struggle to provide consistent, 24/7 customer support across various platforms, leading to slow response times and increased operational costs. Hexabot enables organizations to build and deploy intelligent, multi-channel chatbots that handle routine queries, FAQs, and provide seamless handover to human agents, drastically improving response times and reducing operational costs.

TelecommunicationsFor: Customer Service Managers

Enhancing E-commerce Engagement and Sales

Online retailers aim to create personalized shopping experiences and efficiently guide customers through their purchase journey, but often lack the resources for round-the-clock interaction. Hexabot empowers e-commerce businesses to deploy virtual assistants that offer personalized product recommendations, answer specific product questions, and provide guidance, thereby boosting customer engagement and driving sales conversions.

E-commerceFor: E-commerce Managers

Streamlining Healthcare Patient Support

Healthcare providers face challenges in efficiently managing patient inquiries, scheduling appointments, and delivering accurate health information outside of clinic hours. Hexabot allows healthcare organizations to implement secure, intelligent chatbots for patient support, facilitating appointment booking, medication reminders, virtual consultations, and reliable health information delivery, ultimately enhancing patient access and operational efficiency.

HealthcareFor: Healthcare Administrators

Developing Custom & Integrated Conversational AI Agents

Developers and IT teams frequently need to build highly tailored conversational AI solutions that integrate deeply with existing enterprise systems and require specific deployment environments. Hexabot, as an open-source and extensible platform with a robust plugin system and API support, empowers technical users to create bespoke AI chatbots, develop custom channels, and integrate with diverse third-party systems, offering unparalleled flexibility and control for unique business logic and on-premise deployment.

Software DevelopmentFor: AI Developers

Frequently asked questions

Hexabot is an open-source AI chatbot and agent builder that enables users to create, manage, and deploy intelligent, multi-channel, and multilingual chatbots. It is designed for both technical and non-technical users, offering a visual editor, AI-powered features, and extensibility through plugins.

Yes, Hexabot is 100% open-source. The code is available on GitHub, and the community is encouraged to contribute, extend, and customize the platform.

Hexabot features include a visual editor with a drag-and-drop interface to design chatbot flows without coding; multi-channel support for deploying chatbots on web, mobile, social media, and more; multilingual support to build chatbots that interact in multiple languages; AI and NLU with a built-in engine for intent detection and language processing; LLM integration supporting large language models like OpenAI’s ChatGPT, Google Gemini, or custom models; a plugin system to extend functionality with custom plugins and integrations; a knowledge base to manage dynamic content like product catalogs and FAQs; user roles and permissions for granular access control; analytics and reporting to track chatbot performance and user interactions; and handover to human agents with a real-time chat window for monitoring.

To get started with Hexabot, you need to clone the Hexabot repository from GitHub, install dependencies such as Node.js and Docker, set up environment variables, and then start the project using Docker. After these steps, you can access the admin panel to begin building chatbot flows.

Yes, Hexabot can be deployed on your own server. The documentation provides guides for deploying with NGINX and Let's Encrypt for SSL, as well as other web servers.

To add the Hexabot chat widget to your website, install the Hexabot Chat Widget plugin which is available for WordPress and other platforms, configure the widget with your Hexabot instance details, and then embed the widget code on your website.

Yes, Hexabot supports integrations with third-party systems through its plugin system and APIs. You can connect to CRM, databases, payment gateways, and more.

Absolutely, Hexabot is widely used for customer support automation, handling 24/7 queries, ticketing, and FAQs. It is also used for e-commerce virtual assistants, providing product recommendations and purchase guidance, and for lead generation and sales assistance.

Yes, Hexabot can be deployed in healthcare for patient support, including appointment scheduling and medication reminders, as well as for telemedicine, offering virtual consultations and patient monitoring, and for health information delivery, such as FAQs and symptom checking.

To contribute to Hexabot, you can star and fork the Hexabot repository on GitHub, submit pull requests for new features, bug fixes, or documentation improvements, and join the community Discord server to collaborate and share ideas.

You can find official documentation, video tutorials, and community guides for Hexabot.

To deploy Hexabot with NGINX, install NGINX and Certbot for SSL, configure NGINX to proxy requests to your Hexabot containers, and set up domain names and SSL certificates; you can refer to the official guide for more details.

Yes, Hexabot supports integration with custom LLMs and AI models, allowing you to leverage generative AI or deterministic AI as needed.

Hexabot provides granular access control, allowing administrators to define user roles and permissions for different parts of the system.

You can get support or ask questions by joining the Hexabot Discord community, opening an issue on GitHub, or checking the official documentation and tutorials.

Tags

agent deploymentvisual editorchatbot buildermultichannel messagingconversational ai platform

Specifications

Deployment
Browser
API
Self-hosted
Target Audience
Individual
Startup
Business
Enterprise
Complexity
Developer

Integrations

GitHub
Discord

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