Sheet updated on 9 April 2026

Dify

Create, deploy, and manage AI agents and RAG pipelines in production — open source, no-code, and self-hostable.

💰Free / From $59/month ★★★★½ 4.8/5 (87 opinion)

Code & Development No-code & Automation

#Agents autonomes #Automatization workflows #Knowledge base #Open source

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Overview of Dify

https://dify.ai

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Présentation détaillée

Dify is the leading open source platform for creating AI agents and agentic workflows in production. It enables teams to visually build complex AI applications through drag-and-drop — chatbots, autonomous agents, RAG pipelines — without requiring code, while offering powerful APIs for developers. Dify supports all major global LLMs (OpenAI, Anthropic, Llama, Azure, Hugging Face), natively integrates the MCP protocol, and enables publishing agents as universal MCP servers. The platform covers the entire lifecycle: building, Knowledge Base RAG, monitoring, logs, and deployment. With over 1 million deployed applications, 5 million downloads, and the trust of Volvo, Ricoh, and thousands of teams worldwide, Dify is the reference for agentic AI in production.

What is Dify?

Dify is an open source LLM engineering platform that enables creating AI applications ranging from simple chatbots to complex autonomous agents, including sophisticated RAG (Retrieval-Augmented Generation) pipelines. It offers two complementary access modes: a managed cloud service (Dify Cloud) and a self-hosted version deployable on any infrastructure. The platform covers the entire lifecycle of an AI application: visual building, data integration, model connection, deployment, monitoring, and feedback.

Key Features

Dify includes several key features. App Studio enables creating five types of applications: chatbots, text generators, autonomous agents, chatflows (multi-step conversational), and workflows (automated task pipelines). The visual drag-and-drop editor makes creating complex workflows accessible without code. The integrated Knowledge Base enables ingesting documents from various sources (PDFs, websites, APIs), indexing them in a vector database, and building accurate RAG agents. Compatibility with all major global LLMs is achieved through a unified interface. Native MCP protocol integration allows Dify to consume external MCP services and publish its own agents as universal MCP servers. The Marketplace offers plugins to extend capabilities. Monitoring includes execution logs, performance metrics, and integrations with advanced observability tools.

Use Cases

Dify adapts to many concrete use cases. For enterprises, it enables deploying Q&A bots powered by internal documentation, accessible to thousands of employees. For HR and operations teams, automated workflows manage repetitive processes with estimated annual time savings in the tens of thousands of hours. For product teams, RAG agents analyze customer feedback and generate actionable insights. For developers, Dify serves as backend-as-a-service for AI applications deployed in production. For startups, it accelerates time-to-market by enabling rapid validation of LLM-based MVPs.

Advantages

Dify provides several decisive advantages. The open source nature guarantees freedom from vendor lock-in and enables auditing the entire codebase. Self-hosting offers complete data and infrastructure control, crucial for regulated industries. The combination of no-code + APIs allows all stakeholders — developers and non-developers — to contribute to application building. Support for all global LLMs avoids dependency on a single model provider. The continuously expanding Marketplace ecosystem enriches available capabilities without requiring from-scratch development.

Pricing

Dify offers three pricing tiers for its cloud service. The Sandbox plan is free with 200 message credits, 5 applications, 1 member, and 30 days of logs. The Professional plan at $59/month ($49/month annually) provides 5,000 credits/month, 50 applications, 3 members, 5 GB of Knowledge Base storage, and unlimited log history. The Team plan at $159/month ($132/month annually) scales to 10,000 credits/month, 200 applications, 50 members, and 20 GB of storage. An Enterprise plan with SOC 2 Type II and dedicated support is available on request. Self-hosting remains free without restrictions.

Conclusion

Dify is today the most comprehensive and widely adopted open source platform for creating AI applications and autonomous agents in production. Its unique combination of visual no-code editor, integrated RAG, native MCP support, and compatibility with all LLMs makes it the benchmark choice for any team wanting to industrialize its AI workflows with flexibility and freedom. The free plan allows exploration, and self-hosting offers an unlimited alternative for teams concerned with data sovereignty.

✅ Strengths

Open source with 5M+ downloads and unlimited self-hosting
Visual no-code editor with drag-and-drop for complex workflows
Integrated RAG: vector indexing and native Knowledge Base
Native MCP support to integrate and publish agents as MCP servers
Compatible with all LLMs: OpenAI, Claude, Llama, Azure, Hugging Face, and more
Free sandbox plan available without credit card to get started

⚠️ Limits

The free Sandbox plan is very limited: 200 credits, 5 apps, 1 member
Primary interface in English despite partial multilingual support
The learning curve can be significant for advanced workflows
The Professional plan at $59/month is significant for solo small projects

👤 GOOD CHOICE?

Dify est-il fait pour vous ?

✓ Ideal if you…

✓ Développeurs et équipes techniques créant des agents IA en production
✓ Entreprises voulant déployer des LLMs sur leurs données internes (RAG)
✓ Startups IA cherchant une base open source scalable sans vendor lock-in
✓ Équipes no-code souhaitant construire des workflows IA sans développement

✗ To avoid if you…

✗ Utilisateurs cherchant un simple chatbot sans besoin de personnalisation
✗ Profils sans aucune notion technique pour les cas d’usage avancés
✗ Projets avec budget nul nécessitant plus de 200 crédits de messages
✗ Utilisateurs voulant une interface 100% francophone dès le départ

🎯 Our verdict

Dify has established itself in a few years as the leading open source platform for creating AI applications and autonomous agents in production. With over 5 million downloads, more than one million deployed applications worldwide, and the trust of customers like Volvo Cars, Ricoh, and many organizations of all sizes, the platform has clearly found its market. Its value proposition is unique: offering both the power of a visual no-code editor accessible to non-developers and the flexibility of a complete API for engineers, all in an entirely self-hostable open source environment. The integrated RAG module is particularly well-designed, enabling indexing documents in a vector Knowledge Base and building chatbots that answer precisely from an organization’s internal data. Native MCP protocol support is a major asset: Dify can not only consume external MCP services but also publish its own agents as universal MCP servers accessible from any compatible client. Compatibility with all major models on the market (OpenAI, Claude, Llama, Azure, Gemini, Mistral) avoids any vendor lock-in. Client results are eloquent: Ricoh estimates an 18,000 annual hour reduction thanks to its Dify workflows, and a customer deployed a Q&A bot for 19,000 employees across 20 departments. The free Sandbox plan is very limited (200 credits, 5 apps) but sufficient for exploration. The Professional plan at $59/month covers most production needs for solo and small teams. For enterprise use, self-hosting remains the most economical and flexible option. Dify is today the benchmark choice for any team wanting to build robust AI applications in production with maximum flexibility and freedom.

❓ FREQUENT QUESTIONS

FAQ — Dify

Is Dify free?

Yes, Dify offers a free Sandbox plan with 200 message credits, 5 applications, and 1 member. For production use, paid plans start at $59/month. Self-hosting is completely free without feature restrictions.

Is Dify open source?

Yes, Dify is fully open source with code available on GitHub. It can be deployed on any infrastructure (Docker, Kubernetes, AWS, GCP, Azure) at no cost and without feature restrictions.

Which LLMs are compatible with Dify?

Dify supports all major models: OpenAI (GPT), Anthropic (Claude), Llama (Meta), Azure OpenAI, Google Gemini, Mistral, Hugging Face, and local models via Ollama and other providers. A single workspace for all models.

What is RAG in Dify?

RAG (Retrieval-Augmented Generation) in Dify enables creating a Knowledge Base from your documents, PDFs, websites, or databases, and building agents that answer by relying precisely on your internal data, with integrated vector indexing.

Do you need to know how to code to use Dify?

No, Dify offers a visual no-code editor with drag-and-drop that enables creating complex agents and workflows without writing code. Developers can also use complete APIs for advanced customization.

★★★★½ 4.8/5 (87 avis)

Code & Development No-code & Automation

Create, deploy, and manage AI agents and RAG pipelines in production — open source, no-code, and self-hostable.

💰 Rate Free / From $59/month

🆓 Free trial Yes

🌐 Languages 🇬🇧 English, 🇨🇳 中文, 🇯🇵 日本語, 🇫🇷 Français, +4 others

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