A visual platform for teams to build, deploy, and manage AI agents, workflows, and RAG applications.

Dify

Dify Introduction

What is Dify?

Dify is a collaborative platform from LangGenius for creating and operating AI applications. It provides a visual workspace where teams can assemble agentic workflows, retrieval-augmented generation pipelines, prompts, models, tools, and knowledge sources. Application logic remains visible as an execution path, helping builders test behavior, debug issues, and transfer projects between team members.

Dify supports several deployment approaches. Dify Cloud is a managed service that requires no infrastructure setup, while Dify Enterprise can run in a private VPC or on self-managed infrastructure. A source-available Community Edition can also be deployed with Docker. Finished applications can be published as web apps or exposed through APIs.

Key Features

  • Visual workflow studio: Teams can connect prompts and building blocks to define retrieval, decisions, tool use, human input, and task completion.
  • Agent and RAG development: The platform supports autonomous agents, knowledge pipelines, and applications that retrieve information from managed document collections.
  • Model and tool support: Builders can work with multiple AI models and tools within the same collaborative environment.
  • Publishing and monitoring: Applications can be released as hosted web apps or APIs, with logs available for reviewing production behavior.
  • Flexible deployment: Organizations can use the managed cloud service, deploy Enterprise in a VPC or Kubernetes environment, or self-host the Community Edition with Docker.
  • Enterprise controls: The Enterprise offering includes SSO and SAML support, role-based access control, audit logs, security controls, and dedicated support.

Use Cases

  • Build AI agents that make decisions, call tools, and request human input when needed.
  • Create RAG applications backed by internal documents and managed knowledge bases.
  • Design and test natural-language processing pipelines through a visual interface.
  • Publish internal or customer-facing AI applications as web experiences or APIs.
  • Move prototypes into managed or privately hosted production environments without rebuilding their workflow logic.

Pricing

Dify uses a freemium model. Dify Cloud includes a free Sandbox plan with limited messages, apps, knowledge storage, triggers, log history, and API usage. Paid Professional and Team plans provide higher limits and expanded collaboration or processing capacity, but the scraped pricing page does not expose reliable price amounts. Enterprise pricing is custom through sales. The self-hosted Community plan is free under Dify's open-source license terms. Current paid prices and taxes are listed on the official pricing page.

Who Is It For?

Dify is intended for independent developers, no-code builders, AI application teams, and organizations developing production agents or RAG systems. Its managed option suits teams that do not want to operate infrastructure, while its private deployment and governance features address enterprises with security, compliance, procurement, and audit requirements.

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