AI Tool
Dify pricing, features, company info, and alternatives
A factual product page for Dify as an open-source platform for building AI apps and agents.
Pricing
Current public pricing tiers on file for Dify, last verified Apr 11, 2026.
Sandbox
$0 / month
Free cloud tier for testing the core product.
Professional
$59 / workspace/month
Per workspace monthly price on the cloud plan.
Team
$159 / workspace/month
Per workspace monthly price on the cloud plan.
Self-hosted
Open source
Run on your own infrastructure.
Core Features
The main capabilities that shape how people use Dify today.
Visual app builder for chatbots, agents, and workflow automations.
RAG, tool use, and model connectors for production AI apps.
Web, API, and MCP-based deployment patterns for published apps.
Cloud and self-hosted options for different control requirements.
Best Fit
Who Dify is most clearly built for.
Developers building agentic apps and workflow automations.
Teams that want an open-source AI app platform with RAG support.
Organizations that want self-hosted control over their AI stack.
Platforms
Where you can use Dify today.
Web
Self-hosted
API
MCP server
Privacy Notes
Publicly stated data-handling notes that matter when evaluating Dify.
Self-hosting lets teams keep Dify on their own infrastructure.
Access
How to integrate or build around Dify.
Public API
Yes
Docs
Available
Product Snapshot
Dify is an open-source platform for building AI apps, agents, and retrieval-based workflows. It is aimed at teams that want to ship production AI systems instead of just chatting with a model.
What You Can Do With It
- Build chatbots, agents, and workflow automations visually.
- Connect models, tools, and retrieval pipelines in one platform.
- Deploy through cloud, self-hosted, API, and MCP-based workflows.
- Run open-source infrastructure when you need tighter control.
Why It Stands Out
Dify combines open-source flexibility with a productized cloud experience. That gives teams a path from prototype to self-hosted deployment without changing platforms.
Tradeoffs To Know
- It is more of a platform than a turnkey end-user app.
- Teams that want the easiest possible setup may prefer a simpler hosted product.
- The open-source path shifts more responsibility onto the operator.