Dify
FreemiumOpen-source GenAI application development platform for building production-ready agents, RAG pipelines, and agentic workflows.
Dify is an open-source GenAI application development platform that helps teams build, deploy, and operate production-ready AI agents and applications. It combines a visual workflow builder, Retrieval-Augmented Generation (RAG) pipelines, native MCP integration, multi-model support, and observability tools in one place. The platform supports no-code, low-code, and code-based development, making it suitable for product teams, developers, and enterprises that want to turn AI ideas into live applications quickly.
What is it
An open-source platform for building, deploying, and managing AI agents, chatbots, and agentic workflows with integrated RAG, tools, and observability.
What it can do
Visually design complex AI workflows, connect knowledge bases for RAG, integrate external tools via MCP, switch between global LLM providers, deploy as web apps or APIs, and monitor usage and performance.
Who is it for
AI developers, product teams, startups, customer support teams, and enterprises that need to build and scale AI-powered applications and autonomous agents.
Key Features
Visual Workflow Builder — No-Code Agent Construction
Design sophisticated AI agents and workflows by dragging and dropping nodes, with support for branching logic, iteration, error handling, and real-time preview.
RAG Pipelines — Knowledge-Ready AI
Ingest documents and websites into knowledge bases, chunk and index content, and retrieve relevant context to ground LLM responses in private data.
Native MCP Integration — Universal Tool Connectivity
Connect to thousands of external tools and platforms through Model Context Protocol, and publish Dify workflows as universal MCP servers.
Multi-Model Support — Flexible LLM Choice
Switch between providers such as OpenAI, Anthropic, Gemini, Llama, Azure OpenAI, Hugging Face, and Replicate from a centralized model provider panel.
Use Cases
Customer Support Chatbots
Build RAG-powered support bots that answer questions from company knowledge bases and escalate complex issues through workflows.
Internal Knowledge Assistants
Create enterprise Q&A agents that search across documents, wikis, and databases to help employees find information faster.
AI Workflow Automation
Automate multi-step business processes such as content review, lead qualification, ticket routing, and approval chains with agentic workflows.
AI Application Prototyping
Validate AI product ideas and ship MVPs quickly using templates, visual builders, and pre-integrated models.
Pricing plans
Frequently Asked Questions
Discussion
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