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Dify
Summary
Dify is a visual platform for building LLM applications without code, combining workflows, retrieval-augmented generation, and agent capabilities.
Dify lets teams assemble AI applications by dragging components together rather than writing code—think Zapier for language models. It handles the full stack: connecting to multiple LLM providers, building multi-step workflows, indexing documents for retrieval, and observing model behavior in production. The freemium tier covers small projects; paid plans start around $25/month for additional workspace seats and higher API quotas. The catch: the self-hosted open-source version has a restrictive license that prohibits building competing services, and scaling to multiple isolated workspaces requires an Enterprise license.
Bottom line: *Use this when you need to ship AI workflows fast with minimal engineering; skip it if you require permissive open-source licensing or deep customization.*
Pricing Plans
SubscriptionLast verified 3 months ago- Price
- $59/mo
- Free Tier
- 200 message credits, 1 Team Workspace, 1 Team Member, 5 Apps, 50 Knowledge Documents, 50MB Knowledge Data Storage, 10 Knowledge Request/min, 3,000 Trigger Events, Up to 2 Triggers/workflow, 10 Annotation Quota Limits, 30 Days Log History, 5,000 API Rate Limit/month
Sandbox
Try core features for free.
- 200 message credits
- 1 Team Workspace
- 1 Team Member
- 5 Apps
- 50 Knowledge Documents
- 50MB Knowledge Data Storage
- 10 Knowledge Request/min
- Standard Document Processing
- 3,000 Trigger Events
- Up to 2 Triggers/workflow
- Standard Workflow Execution
- 10 Annotation Quota Limits
- 30 Days Log History
- 5,000 API Rate Limit/month
Professional
For independent developers & small teams ready to build production AI applications.
- 5,000 message credits/month
- 1 Team Workspace
- 3 Team Members
- 50 Apps
- 500 Knowledge Documents
- 5GB Knowledge Data Storage
- 100 Knowledge Request Rate Limit/min
- Priority Document Processing
- 20,000 Trigger Events/month
- Unlimited Triggers/workflow
- Faster Workflow Execution
- 2,000 Annotation Quota Limits
- Unlimited Log History
- No Dify API Rate Limit
Team
For medium-sized teams requiring collaboration and higher throughput.
- 10,000 message credits/month
- 1 Team Workspace
- 50 Team Members
- 200 Apps
- 1,000 Knowledge Documents
- 20GB Knowledge Data Storage
- 1,000 Knowledge Request Rate Limit/min
- Top Priority Document Processing
- Unlimited Trigger Events
- Unlimited Triggers/workflow
- Priority Workflow Execution
- 5,000 Annotation Quota Limits
- Unlimited Log History
- No Dify API Rate Limit
View full pricing on dify.ai →
Pricing may have changed since last verified. Check the official site for current plans.
Community Performance Report Card
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Pros
Sign in to edit- Comprehensive all-in-one platform covering workflows, RAG, agents, and observability
- Visual drag-and-drop interface accessible to non-technical users
- Extensive LLM support including proprietary and open-source models
- Self-hosted option with Docker/Kubernetes deployment
- Backend-as-a-Service with built-in APIs for all applications
Cons
Sign in to edit- Restrictive open-source license prohibits developing competing services
- Multiple workspaces require Enterprise license in self-hosted mode
- Learning curve for advanced features and custom integrations
About
- Platforms
- Docker, Kubernetes, Linux, macOS, Windows
- Languages
- EnglishMandarin Chineseand community translations
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-05-01T01:16:33.945Z
Best For
Who it's for
- Small teams and startups building AI applications quickly
- Non-technical users who want to create LLM apps visually
- Organizations seeking a self-hosted, open-source solution
- Teams building multi-step AI workflows with RAG
- Product teams needing production-ready agent deployment
What it does well
- Building chatbots and conversational AI applications
- Creating RAG-powered Q&A systems over documents
- Developing autonomous AI agents for task automation
- Rapid prototyping of LLM-powered features
- Building internal AI tools without coding expertise
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is Dify free?
- Dify has a permanent free tier alongside paid upgrades (paid plans from $59/mo). You can keep using a baseline version indefinitely without paying.
- Is Dify open source?
- No — Dify is a closed-source tool. Source code is not publicly available.
- Does Dify have an API?
- Yes. Dify exposes a developer API. See the official documentation at https://dify.ai for details.
- Can I self-host Dify?
- Yes. Dify supports self-hosting on your own infrastructure.
- When was Dify released?
- Dify was first released in 2023.
- What platforms does Dify support?
- Dify is available on: Docker, Kubernetes, Linux, macOS, Windows.
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Dify is a visual platform for building LLM applications without code, combining workflows, retrieval-augmented generation, and agent capabilities.
Dify lets teams assemble AI applications by dragging components together rather than writing code—think Zapier for language models. It handles the full stack: connecting to multiple LLM providers, building multi-step workflows, indexing documents for retrieval, and observing model behavior in production. The freemium tier covers small projects; paid plans start around $25/month for additional workspace seats and higher API quotas. The catch: the self-hosted open-source version has a restrictive license that prohibits building competing services, and scaling to multiple isolated workspaces requires an Enterprise license.
*Use this when you need to ship AI workflows fast with minimal engineering; skip it if you require permissive open-source licensing or deep customization.*