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Dify.AI

Open-source LLM app development and LLMOps platform for orchestrating AI workflows.

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Intro

What is Dify.AI?

Dify.AI is an open-source LLM app development platform and enterprise LLMOps platform designed to easily build and operate generative AI applications. Acting as an innovation engine, dify.ai enables developers to visually design and orchestrate LLM apps, ranging from simple assistants API and custom GPTs to complex AI workflows integrated with an advanced RAG engine. By visiting the dify官网 or checking the dify github repository, users discover a production-ready stack more robust than LangChain, offering comprehensive backend APIs (BaaS solution) to securely connect business knowledge and deploy autonomous AI agents across specific industries.

Dify.AI at a glance
Free, Professional from $59/mo1.1M monthly visitsHas free access

Category

No-Code&Low-CodeAI API
Best For

Best Dify.AI use cases by task, role, industry, and platform

These use cases show where Dify.AI fits best, ranked by fit score before popularity or pricing.

LLMOpsDeploy, monitor, and fine-tune large language models to maintain system reliability, latency benchmarks, and response accuracy in production environments.98AI Agent BuildingDesign, configure, and deploy automated digital assistants to handle repetitive workflows and connect multiple software applications.98Retrieval Augmented GenerationEnhance text generation by connecting external knowledge bases to provide accurate, context-aware answers to user queries.95Model OrchestrationCoordinate, sequence, and manage multiple foundation models to automate complex multi-step workflows and complex logical processes.95Prompt ManagementOrganize, test, version, and share AI instructions across teams to ensure consistent outputs for daily workflows.92API IntegrationConnect disparate software systems, sync real-time data flows, and automate backend workflows through custom endpoint configurations.88
Pricing

Dify.AI Pricing Plans

Compare Dify.AI free options, Dify.AI paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Professional from $59/mo

Free

Free Trial of Core Capabilities. Includes 200 messages, support for global LLMs, 1 team workspace, 1 team member, 5 apps, 50 knowledge documents, 50MB storage, 5,000/day API rate limit, and 30 days log history.

$59 per workspace/month

For Independent Developers/Small Teams. Includes 5,000 messages/month, 1 team workspace, 3 team members, 50 apps, 500 knowledge documents, 5GB storage, unlimited Dify API rate limit, and unlimited log history. ($49/mo if billed annually).

$159 per workspace/month

For Medium-sized Teams. Includes 10,000 messages/month, 1 team workspace, 50 team members, 200 apps, 1,000 knowledge documents, 20GB storage, unlimited Dify API rate limit, top priority processing, and unlimited log history. ($132.50/mo if billed annually).

Pricing updated:Jun 11, 2026

Features

Dify.AI AI Features

Dify Orchestration Studio for visual AI app designAdvanced RAG Pipeline with secure data and external knowledge APIsPrompt IDE for testing and refining advanced promptsEnterprise LLMOps for monitoring model reasoning, logs, and annotationBaaS Solution to integrate AI via comprehensive backend APIsAutonomous LLM Agents capable of using enterprise-defined toolsEnd-to-end multi-model support connecting to global LLMs (OpenAI, Anthropic, Llama2, etc.)
Pros & Cons

Dify.AI Pros and Cons

Pros

  • More production-ready and manageable than alternative frameworks like LangChain
  • Comprehensive open-source stack supporting both Cloud Service and Self-hosted setups
  • Enterprise-grade security with SOC2 Type II and ISO 27001:2022 certifications
  • Flexible switching and load balancing across diverse global model providers

Limitations

  • Sandbox tier is highly restricted with limits on team seats and knowledge storage
  • Advanced analytical integrations (e.g., Langsmith, Langfuse) are restricted in log retention on the lowest tier

Dify.AI FAQ

Dify.AI is a next-gen development platform that simplifies LLM orchestration. It optimizes apps by providing visual tools, prompt engineering environments, and robust data pipelines, making it easier to manage than raw coding libraries.

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