Dify.ai

What if building powerful AI applications was as intuitive as dragging and dropping?

RecommendedDify is a powerful and flexible platform that bridges the gap between AI model development and production-ready applications through its visual workflow builder, integrated RAG, and versatile deployment options.

Dify is an open-source platform designed for building, deploying, and managing AI applications, particularly agentic workflows and RAG pipelines. It offers a collaborative visual workspace to combine AI models, knowledge retrieval, tools, and custom code, enabling teams to move from prototype to production efficiently.

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Key Features:
  • Visual Workflow Studio for Agentic Workflows
  • Knowledge Pipeline for searchable knowledge bases (RAG)
  • Support for various AI models and integrations via Marketplace
  • Deployment options: Cloud, Enterprise (VPC), and Open-source Community Edition
  • Observable workflows with detailed tracing and debugging capabilities
Pros
  • Developers and teams building production AI applications requiring agentic workflows.
  • Enterprises needing private deployment, advanced security, and dedicated support for AI solutions.
  • Anyone looking to create reliable AI apps with integrated knowledge bases and tool support.
Cons
  • The free Sandbox tier has limited message credits, knowledge documents, and API rate limits.
  • Advanced features and enterprise-grade scalability are primarily available in paid or enterprise plans.
  • While offering low-code options, full flexibility often requires understanding of underlying AI concepts and potentially custom code.
Pricing
freemiumFree tier
Starting at:$59/month (Professional annual plan)
Free tier:200 message credits, 1 team workspace, 1 team member, 5 apps, 50 knowledge documents, 50MB knowledge data storage, 10 knowledge requests/min, 3,000 trigger events, 2 triggers/workflow, 10 annotation quota, 30 days log history, 5,000 API rate limit/month
Plans
  • Sandbox: Free
  • Professional: $59/month (billed annually) or $70/month (billed monthly)
  • Team: $299/month (billed annually) or $359/month (billed monthly)
  • Enterprise: Custom pricing
Categories:
AI InfrastructureAutomation & IntegrationCode & Development
Tags:
agentic workflowsRAGLLM orchestrationvisual builderopen-sourceAI application developmentknowledge baseno-codelow-codeenterprise AI
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Quick Decision
Try if: You are a developer or team looking for a comprehensive platform to visually build, deploy, and manage complex AI applications with agentic capabilities and robust RAG, especially if you need both cloud and self-hosted options.
Skip if: You only need a very simple, single-function AI tool, or you prefer to manage all aspects of your AI development with purely custom code and existing frameworks without a visual orchestration layer.
Not for: Individuals seeking a simple, single-purpose AI tool without workflow orchestration needs.; Users who prefer to build AI applications entirely from scratch with custom code only.
Trust Signals

  • Users

    1.4M+

  • Team Size

    medium

  • Funding

    $30M Series Pre-A, 2026 ($180M valuation)
Notable Customers
MAERSKAdobeGooglePanasonicPayPal
Tech Details
Platforms
webapi
Integrations
SlackPerplexityComfyUIFirecrawl200+ more via MarketplaceOpenAIAnthropicGoogle GeminixAI Grok
Open Source
Yes
Support
Channels
emaildocsgithub issuesdiscord
Company

  • Name

    LangGenius, Inc.

  • Location

    Menlo Park, CA (HQ), Tokyo, Suzhou, Shanghai

LangGenius, Inc. is dedicated to building the most popular open-source platform for the new paradigm of AI–Human–Data–Tool collaboration, aiming to be the 'operating system' of the AI era.

FAQ

What is Dify and what can I build with it?

Dify is an open-source platform for building AI applications. You can use it to create agentic workflows, RAG pipelines, and chatbots that leverage your own data, then deploy them as web apps or integrate via APIs. It supports combining AI models, knowledge retrieval, tools, code, and human review.

Is Dify free to use?

Yes, Dify offers a free 'Sandbox' tier with limited features, message credits, and usage quotas, suitable for trying out its core functionalities. There is also a free 'Community' edition for self-hosting, which includes all core features released under the public repository.

What are the deployment options for Dify applications?

Dify provides multiple deployment options: Dify Cloud (hosted SaaS), Dify Enterprise (private deployment for enterprise teams), and Community Edition (open-source, self-deploy with Docker). Applications can be published as web apps, API endpoints, MCP-compatible tools, or reusable templates.

How does Dify handle knowledge management and retrieval?

Dify features a 'Knowledge Pipeline' that transforms various data sources (files, online docs, web content) into searchable knowledge bases. It allows for tuning retrieval at the data layer with configurable chunking, indexing (embeddings, keywords), retrieval methods (semantic, keyword, hybrid), and refinement options (metadata filters, reranking, citations).

What kind of integrations does Dify support?

Dify is model-agnostic and supports integration with various LLM providers like OpenAI, Anthropic, Google Gemini, and xAI. It also offers a Marketplace with over 200 tools and integrations, including Slack, Perplexity, ComfyUI, and Firecrawl, as well as custom API and code nodes.

Use Cases
  • Developers and teams building production AI applications requiring agentic workflows.
  • Enterprises needing private deployment, advanced security, and dedicated support for AI solutions.
  • Anyone looking to create reliable AI apps with integrated knowledge bases and tool support.
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