8 Best Hexabot Alternatives in 2026 (Open Source)

Hexabot — Hexabot is an open-source AI chatbot / agent builder. It allows you to create and manage multi-channel and multilingual chatbots / agents with ease. . vs Botpress/Rasa: open-source visual chatbot builder with built-in multi-LLM support, multi-channel deployment, and knowledge base — complete platform not just a framework

These 8 open-source tools do the same job. They are ordered by how closely they match Hexabot, with live GitHub data so you can see which projects are actively maintained.

1. 1. botpress

   The open-source hub to build & deploy GPT/LLM Agents ⚡️

   Best for: Teams building production chatbots with multi-channel deployment; Organizations needing both visual and code-based bot development; Enterprises deploying AI assistants across WhatsApp, Slack, Messenger, and web

   ⭐ 14.9kHexabot vs botpress →Full profile →

2. 2. Dialoqbase

   Create chatbots with ease

   What sets it apart: vs Botpress/Rasa: open-source no-code chatbot builder with multi-LLM provider flexibility + multi-platform deployment (web, Telegram, Discord, WhatsApp) + PostgreSQL vector search — all self-hosted

   Best for: Quickly building custom chatbots from proprietary knowledge bases; Teams wanting multi-platform chatbot deployment (Telegram, Discord, web); Experimenting with different LLM providers for chatbot use cases

   ⭐ 1.8kHexabot vs Dialoqbase →Full profile →

3. 3. Dify

   Production-ready platform for agentic workflow development.

   What sets it apart: Unlike LangGraph (code-first orchestration), Dify offers a complete visual IDE combining workflow builder, RAG pipeline, prompt engineering, and production monitoring in one platform — the Vercel of LLM apps

   Best for: Teams building RAG-powered chatbots and AI apps with visual workflow and no backend coding; Product teams who need LLMOps monitoring alongside app development in one platform

   ⭐ 157.6kHexabot vs Dify →Full profile →

4. 4. Langflow

   Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

   What sets it apart: Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture

   Best for: Rapid prototyping of AI agent workflows with visual builder; Non-developers building LLM applications without coding

   ⭐ 155.4kHexabot vs Langflow →Full profile →

5. 5. Flowise

   Build AI Agents, Visually

   What sets it apart: Easiest no-code AI agent builder with one-command setup (npx flowise start) — simpler than Langflow, targeting non-developers who want AI workflows without Python

   Best for: Non-technical users building AI chatbots and RAG applications; Quick prototyping of LLM workflows with drag-and-drop

   ⭐ 55.5kHexabot vs Flowise →Full profile →

6. 6. Chaindesk

   The no-code platform for building custom LLM Agents

   What sets it apart: vs Botpress/Voiceflow: no-code LLM agent builder with semantic search — evolved into Chaindesk managed platform for production chatbot deployment

   Best for: Non-technical users wanting to build LLM-powered chatbots; Quick customer support bot prototyping; Teams evaluating no-code LLM agent platforms

   ⭐ 3.0kHexabot vs Chaindesk →Full profile →

7. 7. RasaGPT

   💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram

   What sets it apart: First headless LLM chatbot platform combining Rasa conversational AI framework with LangChain/LlamaIndex for RAG-powered bots

   Best for: prototyping-llm-chatbots-on-rasa; learning-rasa-llm-integration; building-rag-chatbots

   ⭐ 2.5kHexabot vs RasaGPT →Full profile →

8. 8. Flock

   Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用

   What sets it apart: vs Dify/Flowise: native human-in-the-loop approval, subgraph nodes for modular reuse, and MCP protocol support for flexible tool integration

   Best for: Teams building conversational AI with visual workflow design; Organizations needing human-in-the-loop agent workflows

   ⭐ 1.1kHexabot vs Flock →Full profile →