Dify AI
Open-source platform for building and deploying AI agents and workflows.
Pricing
About Dify AI
Dify is an open-source LLM app development platform designed for building production-ready agentic AI applications. It combines visual workflow builders, RAG pipelines, agent capabilities, and LLMOps tools in a single interface, enabling users to create complex AI systems through drag-and-drop design without extensive coding. The platform supports access to global large language models (both open-source and proprietary) and includes features for model comparison and performance optimization. The platform is trusted by enterprises including RICOH, Panasonic, Maersk, Novartis, Deloitte, and NTT, with over 1.4 million deployments worldwide. Dify offers both cloud-hosted and self-hosted deployment options, making it accessible for teams of varying scales. A key limitation is that despite its no-code interface, building truly complex autonomous agents may still require understanding of AI workflows and RAG concepts, which could create a learning curve for non-technical users.
At a glance
- Company
- LangGenius, Inc.
- Platforms
- Web, API, Self-hosted
- API
- Available
- Integrations
- OpenAI, Ollama, Model Context Protocol (MCP), Opik, Langfuse, Arize Phoenix
- Last verified
- June 2026
Who It's For
- •Enterprise teams building AI applications at scale
- •AI developers and engineers seeking rapid deployment solutions
- •Product teams validating AI business ideas and MVPs
- •Non-technical business users (citizen developers) building AI workflows without coding
- •Startups accelerating time-to-market for AI products
- •Organizations implementing RAG and agent-based AI systems
How It Works
- 1Users drag and drop components to visually construct AI workflows and applications
- 2The platform provides access to multiple LLMs globally, allowing users to switch between and compare different models
- 3RAG (Retrieval-Augmented Generation) pipelines extract data from various sources, transform it, and index it into vector databases
- 4MCP (Model Context Protocol) integration bridges AI applications with external APIs, databases, and services through standardized protocols
- 5Dify workflows can be published as universal MCP servers, making them accessible across multiple MCP clients
- 6The Backend-as-a-Service infrastructure handles deployment complexity and scaling automatically
How to Use Dify AI
- 1Create a new project or select from Dify's marketplace of pre-built applications
- 2Use the drag-and-drop workflow builder to design AI application logic and connections
- 3Configure LLM access by selecting from available models (OpenAI, local models via Ollama, proprietary models, or open-source alternatives)
- 4Add RAG capabilities by uploading documents and configuring vector database indexing
- 5Integrate tools and external systems through MCP protocols or native connectors
- 6Test and iterate on workflows using the built-in testing interface
- 7Deploy the completed application via cloud hosting or self-hosted infrastructure
Key Features
- •Visual workflow builder with drag-and-drop interface
- •Support for multiple global LLMs (OpenAI, Ollama, proprietary, and open-source models)
- •RAG pipeline functionality for document processing and vector database integration
- •Agent capabilities for autonomous task execution
- •Model management and performance comparison tools
- •Native MCP (Model Context Protocol) integration for external API access
- •Backend-as-a-Service infrastructure for scalability
- •Observability features including support for Opik, Langfuse, and Arize Phoenix
- •Plugin marketplace for extending capabilities
- •Flexible publishing options (cloud, self-hosted, or as MCP servers)
Use Cases
- •Building enterprise Q&A bots that serve large employee bases across multiple departments
- •Creating autonomous AI agents that handle complex customer support and workflows
- •Developing RAG-powered applications that analyze and extract insights from company documents
- •Rapid prototyping and MVP validation for AI product ideas
- •Running parallel LLM prompts simultaneously for content generation and multi-format processing
Pros & Cons
Advantages
- •Open-source platform with strong community support (50,000+ GitHub stars, 800+ contributors, 5M+ downloads)
- •Enterprise-trusted by Fortune 500 companies (RICOH, Panasonic, Maersk, Novartis, Deloitte, NTT) with proven scalability to 19,000+ concurrent users
- •Comprehensive all-in-one solution combining workflows, RAG, agents, and LLMOps eliminates need for multiple tools
- •Democratizes AI development through no-code interface while maintaining production-grade infrastructure
Disadvantages
- •Despite no-code interface, understanding AI workflows and RAG concepts creates a learning curve for non-technical users
- •Open-source deployment requires infrastructure management expertise for self-hosted options
- •Integration with third-party services relies on plugin ecosystem maturity, which may vary by service
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Frequently Asked Questions
What is Dify AI?
Dify is an open-source LLM app development platform designed for building production-ready agentic AI applications. It combines visual workflow builders, RAG pipelines, agent capabilities, and LLMOps tools in a single interface, enabling users to create complex AI systems through drag-and-drop design without extensive coding.
How much does Dify AI cost?
Dify AI is free to use. A free trial is available.
Is Dify AI free?
Yes, Dify AI offers a free plan you can start with.
What are the best Dify AI alternatives?
Popular Dify AI alternatives include AutoGPT, FlowiseAI, AirOps.
What is Dify AI used for?
Dify AI is commonly used for Building enterprise Q&A bots that serve large employee bases across multiple departments, Creating autonomous AI agents that handle complex customer support and workflows, Developing RAG-powered applications that analyze and extract insights from company documents.
Does Dify AI have an API?
Yes, Dify AI offers an API for developers.
What platforms does Dify AI support?
Dify AI is available on Web, API, Self-hosted.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.