Build, deploy, and govern production-ready agentic AI workflows
Estimated monthly website visits
Similarweb estimates for this domain, not active users. Only available observation months are shown; collection date is separate from the traffic period.
Collected Nov 11, 2026
This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, Dify (dify.ai) is an AI platform indexed under AI App Builder generating 819.69K monthly visits with a month-over-month traffic delta of -144.26K (-15%). Its primary geographic market is China (46.7% traffic share), and it operates on a Freemium pricing model. Top competing alternatives by monthly volume include n8n (4.52M visits/mo), Coze (177.54K visits/mo), MindStudio (1.79M visits/mo).
The absolute gold standard for agent workflows.
Self-hosted RAG setup is ridiculously easy.
Docker deployment can be finicky behind proxies.
Replaced half our custom python microservices.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
Run on managed Cloud, in your VPC, or self-hosted with Docker, and monitor published apps through logs, annotations, feedback, latency, and usage data.
Dify pairs a visual canvas with code-level control so both technical and non-technical teams can assemble AI applications and agents. Workflow Studio turns prompt logic into an inspectable execution graph of building blocks: retrieval, branching, tool calls, human-in-the-loop steps, and model calls. Agent builder lets you create agents by chatting or by configuring them directly, then run them as a standalone app, embed them into a website, or reuse them as a node inside a larger workflow.
A major part of the platform is context engineering. The Knowledge Pipeline lets you define repeatable ingestion flows for files, websites, online documents, and cloud drives, handling extraction, cleaning, chunking, indexing, and retrieval testing before a knowledge base is attached to agents or workflows. The Marketplace supplies model providers, tools, data sources, and MCP integrations that teams can install once and then reuse across many apps as approved plugins.
Dify ships in three deployment shapes: Dify Cloud (fully managed SaaS with workspace, logs, and scaling handled for you), Dify Enterprise (self-hosted or VPC deployment with SSO/SAML, RBAC, audit logs, Helm charts for Kubernetes, and enterprise support), and the open-source Community Edition, a source-available single-command Docker deployment with a large GitHub community. Published apps can be delivered as hosted web apps, API endpoints, embeds, or MCP-compatible tools, with logs, feedback, annotations, latency, and usage analytics to keep improving them after launch.
Assemble a knowledge-grounded assistant over company documents and launch it as a web app or embed for employees without writing a full backend.
Design prompt and retrieval logic visually, then publish the same flow as an API endpoint or MCP tool that existing services can call.
Self-host or run in a VPC with SSO, RBAC, and audit logs to satisfy procurement, security, and compliance requirements across business units.
Chain extraction, classification, and review steps with human-in-the-loop checkpoints to automate repetitive back-office processing.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Dify | 819.69K | -15% | 57% direct | Freemium | Current |
| 1 | n8n An open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining. | 4.52M | -7.4% | 35% direct | Freemium | vs n8n |
| 2 | Coze Provides an all-in-one visual workspace for building custom AI agents and publishing them to messaging platforms. | 177.54K | -33.3% | 55% direct | Freemium | vs Coze |
| 3 | MindStudio Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility. | 1.79M | +14.2% | 12% direct | Contact for Pricing | vs MindStudio |
| 4 | FlowHunt Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code. | 186.19K | 0% | 16% direct | Free Trial, Paid | vs FlowHunt |
| 5 | Relevance AI Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines. | 192.08K | -15.5% | 52% direct | Free Trial, Contact for Pricing | vs Relevance AI |
| 6 | AI-Flow An open-source drag-and-drop builder specifically designed for chaining foundation models into automated AI pipelines. | 66.55K | -40.1% | 38% direct | Free | vs AI-Flow |
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Free / Open-sourceAn open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining.
Provides an all-in-one visual workspace for building custom AI agents and publishing them to messaging platforms.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code.
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines.
Free / Open-sourceAn open-source drag-and-drop builder specifically designed for chaining foundation models into automated AI pipelines.
Free / Open-sourceAn open-source drag-and-drop builder specifically designed for chaining foundation models into automated AI pipelines.
Free / Open-sourceAn open-source AI workspace providing visual workflow builders for designing and governing agent systems.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
Free / Open-sourceAn open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
SpecialistProvides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
Free / Open-sourceA self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
