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Dify

Dify builds AI agents, RAG apps, and LLM workflows, with cloud hosting and self-hosting under its own license.

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Dify is a visual platform for building AI agents, RAG apps, chatflows, and LLM workflows. It helps teams move from prototype to hosted app, API, MCP server, or self-hosted deployment with a drag-and-drop studio, model management, knowledge pipelines, plugins, and observability.

Key Highlights

  • Visual builder for agents, chatflows, workflows, and chatbots
  • RAG tools for extracting, transforming, and indexing data into vector databases
  • Model support across OpenAI, Anthropic, Llama2, Azure OpenAI, Hugging Face, and Replicate
  • Native MCP support for HTTP services and publishing apps as MCP servers
  • Web app and API deployment with runtime data, feedback, and logs

What Makes It Different

Dify sits between a no-code AI app builder and an engineering platform. Non-technical teams assemble flows visually, while developers still get model vendor management, external APIs, knowledge pipelines, plugins, and self-hosting. RAG, agent logic, integrations, deployment, and monitoring live in one workspace.

Features & Capabilities

The app studio supports chatbots, agents, text generators, chatflows, and multi-step workflows. Dify can switch or compare global LLM providers, use local models, and add tools through its marketplace and plugin system.

For data-heavy apps, the knowledge base supports batch document upload, external knowledge APIs, chunking, and plan-based request limits. Deployment options include hosted web apps, APIs, and MCP server publishing, plus app feedback and log history.

User Ratings and Testimonials

Test an app with representative documents and workflows before choosing a plan.

The main tradeoff is that the free Sandbox plan is capped at 1 team member, 5 apps, 50MB of knowledge storage, 50 knowledge documents, and 30 days of logs. Collaboration and higher throughput need a paid cloud plan or self-hosting.

Pricing & Value

  • Sandbox: Free, with 200 message credits, 1 team member, 5 apps, 50 knowledge documents, 50MB knowledge storage, and 30 days of logs
  • Professional: $590 per workspace/year, billed annually, with 5,000 message credits/month, 3 team members, 50 apps, 5GB knowledge storage, and unlimited log history
  • Team: $1,590 per workspace/year, billed annually, with 10,000 message credits/month, 50 team members, 200 apps, 20GB knowledge storage, and unlimited trigger events
  • Self-hosted Community Edition: no platform subscription, subject to the Dify Open Source License; infrastructure and model costs are separate

The Dify Open Source License adds conditions to Apache 2.0. Operating a multi-tenant service or removing frontend branding can require commercial permission. Cloud billing and self-hosting rights are separate.

Product facts

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FAQs

Is Dify AI a Chinese company?

Dify is operated by LangGenius, Inc. Its terms list a San Francisco, California legal notice address; that alone does not establish ownership.

What is Dify AI used for?

It is used to build AI agents, chatbots, text generators, chatflows, workflows, and RAG apps that publish as web apps or APIs.

Is Dify free to use?

Dify has a limited free cloud Sandbox. Self-hosted Community Edition has no platform fee but follows its license; hosting and model costs are separate.

What is the best alternative to Dify AI?

No single alternative is best for everyone. Compare options by visual workflows, RAG, agents, self-hosting, and monitoring.

How does Dify AI compare to other AI tools?

Dify combines visual workflows, RAG, agents, model switching, MCP, API publishing, and logs in one platform.

What are the benefits of using Dify?

Teams can move from AI app prototype to hosted app, API, or self-hosted deployment with one visual builder.

How much does Dify cost?

Dify cloud offers a free Sandbox and paid workspace plans. Self-hosting has separate infrastructure and model costs and license conditions.

Is Dify any good?

It is strong for visual AI app building with RAG, agents, MCP, and self-hosting. Small projects may find Sandbox limits tight.

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Curated by Michał Śnieżyński. Website may contain affiliate links.