Dify.AI is an open-source platform for building agentic AI workflows, RAG knowledge pipelines, and LLM apps, deployable on cloud, in a VPC, or self-hosted with Docker.
About
Dify.AI is an open-source platform for building agentic AI applications, including autonomous agents, visual workflows, and RAG knowledge pipelines. It addresses a common problem for teams shipping generative AI: prototypes built in notebooks or prompt playgrounds rarely transfer cleanly to production. Dify lets teams design agent logic on one visual canvas, connect models and tools, and deploy the same logic as an app, API, or tool without rebuilding the stack.
The platform works by combining a visual workflow editor with an agent runtime, knowledge pipelines that ingest and index documents, and a plugin marketplace for model providers, tools, and MCP integrations. Teams can develop collaboratively in a shared workspace, test and debug visible execution paths, and monitor logs, feedback, and usage after deployment. Dify is developed by LangGenius and offered in three forms: a hosted cloud service, an enterprise self-hosted edition, and a free Community Edition released under an Apache-2.0-derivative license that anyone can deploy with Docker.
Key Features
Pricing & Fees
- Pricing: The Dify Cloud Professional plan is listed at $590 per workspace per year (billed annually) with 5,000 message credits per month, 1 team workspace, 3 team members, 50 apps, 500 knowledge documents, and 5GB of knowledge data storage; a Team plan and other tiers are also offered. Enterprise pricing requires contacting sales.
- Free self-hosted option: The Community Edition is source-available under an Apache-2.0-derivative license and deploys with a single Docker command; the project has over 159,000 stars on GitHub.
- Deployment flexibility: Dify runs as managed SaaS (Dify Cloud), self-hosted or in a VPC (Dify Enterprise), or fully self-managed via Docker.
- Model flexibility: Cloud plans include message credits usable with models from OpenAI, Anthropic, Gemini, xAI, and Tongyi, and users can bring their own API keys.
Who It's For
Dify.AI suits development teams and business units that need to move AI prototypes into production without managing infrastructure piece by piece. Typical users include engineers building LLM applications and RAG pipelines, nontechnical teams creating agents on a no-code interface, and enterprises in banking, pharma, manufacturing, logistics, and the public sector that require private deployment, governance, and audit controls. It also fits consultancies and internal platform teams that want one shared workspace for agents, knowledge bases, and workflows across many departments.
FAQ
What is Dify.AI?Dify.AI is an open-source platform for building agentic AI applications, combining a visual workflow builder, an agent runtime, RAG knowledge pipelines, and LLM tool support in one collaborative workspace.
Is Dify.AI free to use?Yes, the Community Edition is free to self-host with Docker under an Apache-2.0-derivative license; paid plans start with the Dify Cloud Professional tier at $590 per workspace per year.
Which platforms and integrations does Dify.AI support?Dify supports cloud, VPC, and Docker self-hosting, and its Marketplace provides model providers, tools, data sources, and MCP integrations that can also be custom-defined.
Can Dify.AI be deployed privately for security-sensitive organizations?Yes, Dify Enterprise supports self-hosting or VPC deployment with SSO/SAML, RBAC, audit logs, SOC 2 Type II and ISO 27001, plus a Helm chart for Kubernetes.
How do Dify.AI apps get deployed?Apps built in Dify can be published as hosted web apps, API endpoints, website embeds, or MCP-compatible tools, with logs and usage data available for monitoring.
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