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Dify.AI vs Hexabot

Dify.AI provides an LLMOps platform for AI-native apps, whereas Hexabot emphasizes self-hosted multi-channel chatbot workflows.

Side by side

What it is
Dify.AI:Dify.AI is an open-source LLMOps platform for building, deploying and managing AI-native apps with visual workflow, agent and knowledge-base tools.
Hexabot:Hexabot is an open-source, self-hosted platform for building multi-channel AI chatbots and workflow automation.
Best for
Dify.AI:No-code visual AI app development
Hexabot:Self-hosted AI workflow automation
Who it’s for
Dify.AI:Developers and teams building AI applications, from hobbyists to enterprises
Hexabot:Developers and teams building custom AI assistants and automation pipelines.
Pricing
Dify.AI:Freemium
Hexabot:Freemium
Plans
Dify.AI:Sandbox Free · Community Free
Hexabot:Community $0/month · Starter $19/month per month · Pro $59/month per month · Unlimited $149/month per month
Open source
Dify.AI:Yes, 157,311 GitHub stars
Hexabot:Yes, 1,265 GitHub stars
DevHunt upvotes
Dify.AI:30
Hexabot:2
Launched on DevHunt
Dify.AI:Jan 2023
Hexabot:Jul 2025

Dify.AI features

  • Workflow Studio. Drag-and-drop visual builder for agentic workflows with visible execution paths.
  • Agent Builder. Create AI agents with skills, tools and knowledge, usable as apps or workflow nodes.
  • Knowledge Pipeline. Prepare searchable knowledge bases by extracting, cleaning, chunking and indexing data sources.
  • Marketplace Plugins. Install model providers, tools and data source integrations from a shared marketplace.
  • Publish & Monitor. Deploy apps as web experiences, APIs or embeds and track logs, feedback and usage.

Hexabot features

  • Multi-Channel Support. Deploy chatbots across web, mobile, social media and custom entry points from a single runtime.
  • Visual Flow Designer. Create and edit conversation flows with drag-and-drop UI, supporting text, quick replies, carousels and more.
  • Plugin & Extension System. Add custom actions, integrations and text-to-action capabilities via a modular plugin architecture.
  • LLM / RAG / NLU Management. Connect large language models, retrieval-augmented generation and intent detection with managed datasets.
  • Memory & Context. Persist conversation state, use managed memory and retrieval-augmented context in workflows.
  • Human Handoff & Inbox. Monitor live chats, hand over to human agents and add conditional review points.

Based on each tool's website and DevHunt data. Details may change; check the official sites.