Last updated 08-14-2026
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Dify.AI
Dify.AI lets teams build agentic workflows, RAG pipelines, and AI agents on a visual canvas, then ship them to cloud, VPC, or self-hosted Docker without rewriting the stack. The Workflow Studio connects model calls, knowledge retrieval, tool use, branching, and human-review nodes into one debuggable execution path that publishes as a web app, API, embed, or MCP tool.
Where many AI builders stop at a chat wrapper, Dify treats the workflow as the product. Every node, variable, and run is traceable in logs, and the open-source Community Edition has 152,000+ GitHub stars. Dify Cloud adds managed hosting with message credits for trying models from OpenAI, Anthropic, Gemini, and others before you plug in your own API keys.
Developers, product teams, and enterprise IT groups use Dify for customer support bots, document processing pipelines, assessment generation, and internal knowledge assistants. The Marketplace supplies model providers, data sources, and MCP integrations teams can reuse across projects instead of wiring each app from scratch.
Workflow Studio visual canvas with LLM, knowledge retrieval, branching, code, and human-review nodes
Knowledge Pipeline ingests files, websites, and drives with chunking, indexing, and retrieval testing
Agents get tools, memory, and boundary limits usable standalone or inside larger workflows
Marketplace installs model providers, data sources, and MCP integrations across projects
Publish apps as web experiences, API endpoints, embeds, or MCP-compatible tools with run logs
Community Edition deploys via single-command Docker with Apache-2.0-derivative license and 152K+ GitHub stars
Visual Workflow Studio exposes every node and variable for debugging before production deployment.
Same workflow deploys to Dify Cloud, private VPC, or self-hosted Docker without rebuilding.
Open-source Community Edition has 152,000+ GitHub stars and single-command Docker setup.
Human-in-the-loop nodes pause sensitive actions for approval before execution continues.
Marketplace supplies reusable model providers, tools, and MCP integrations across projects.
Sandbox free plan limits you to 5 apps, 200 message credits, and 30-day log history.
High-quality knowledge indexing consumes storage quotas that fill quickly on lower tiers.
Enterprise features like SSO and audit logs require a separate Enterprise license, not cloud plans alone.
Self-hosted Community Edition runs under an Apache-2.0-derivative license with usage restrictions.
Is Dify.AI free to use?
Yes. Dify.AI offers a free Sandbox cloud plan with 200 message credits and a free self-hosted Community Edition. Paid Dify Cloud plans start at $590 per workspace yearly for the Professional tier with 5,000 monthly message credits.
Can Dify.AI be self-hosted?
Yes. Dify.AI Community Edition is open source and deploys with a single Docker command on your own infrastructure. Dify Enterprise adds SSO, RBAC, audit logs, and Helm charts for Kubernetes in a private VPC.
What models does Dify.AI support?
Dify.AI supports models from OpenAI, Anthropic, Gemini, xAI, DeepSeek, and Tongyi through built-in message credits or your own API keys. The Marketplace adds more model providers and tools teams can install into any workspace.
What is the Dify.AI Knowledge Pipeline?
The Dify.AI Knowledge Pipeline prepares searchable knowledge bases from files, websites, online documents, and drives. It extracts, cleans, chunks, indexes, and tests retrieval before connecting data to agents or workflows.
How does Dify.AI handle human review in workflows?
Dify.AI Workflow Studio includes human-input nodes that pause runs before sensitive actions. A person can approve, edit, comment, or forward the run before execution continues, with full trace logs for every step.
Does Dify.AI support MCP integrations?
Yes. Dify.AI apps can publish as MCP-compatible tools, and the Marketplace installs MCP integrations alongside model providers and data sources for reuse across projects.