Hexabot is an open-source, no‑code platform that lets you build powerful AI chatbots and agents without writing a single line of code. Designed for developers, product teams, and non-technical operators alike, Hexabot combines large language models (LLMs), traditional NLU, and flexible workflows so you can ship reliable conversational experiences faster. With Hexabot, you can visually design conversation flows, orchestrate multiple AI models, and plug into your existing stack using APIs and custom extensions. Its multi-lingual and multi-channel support makes it easy to deploy a single bot across web, mobile, social apps, and customer support tools while maintaining consistent behavior and branding. Because Hexabot is open source, you keep full control over your data, infrastructure, and customization. Host it on your own servers, integrate with your preferred LLM providers, or extend the platform with custom logic tailored to your product and business rules. Whether you are building a support assistant, internal knowledge bot, lead qualification agent, or workflow automation assistant, Hexabot provides the building blocks you need. The platform is built with developers in mind, offering clean APIs, event hooks, and a robust plugin system. At the same time, non-technical users get an intuitive no-code interface for managing conversations, content, and training data. Hexabot helps teams move from prototype to production quickly, while preserving the flexibility required for complex, enterprise-grade conversational applications.
AI customer support assistant that resolves common questions, escalates complex tickets, and syncs with your existing helpdesk tools.
Internal knowledge base bot that answers employee questions from documentation, wikis, and SOPs across multiple departments.
Lead qualification and sales assistant that captures visitor intent, asks qualifying questions, and routes hot leads to your sales team.
Workflow automation agent that triggers backend APIs, updates CRM records, or creates tasks based on conversational inputs.
Developer sandbox for prototyping and testing custom AI agents with domain-specific logic and integrations.