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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.
HexabotOpen-source AI chatbot / agent builderSide 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.