Dify

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

Dify does not present an aggregate customer rating. Its published customer quotes praise rapid validation, faster natural language processing pipeline design, and no-code AI agent development.

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: $59 per workspace/month, with 5,000 message credits/month, 3 team members, 50 apps, 5GB knowledge storage, and unlimited log history
• Team: $159 per workspace/month, with 10,000 message credits/month, 50 team members, 200 apps, 20GB knowledge storage, and unlimited trigger events
• Self-hosted: Free for now, with local deployment and community support

Annual cloud billing saves 17%. Sandbox is enough to test core workflows, while Professional and Team are the practical cloud tiers for production apps and collaboration.