Dify.AI
Generative AI infrastructure software
Generative AI software
Large language model operationalization (LLMOps) software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$59 per workspace per month
Free TrialFree version
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- Education and training
- Retail and wholesale
- Professional services (engineering, legal, consulting, etc.)
What is Dify.AI
Dify.AI is an open-source platform for building, deploying, and operating LLM-powered applications such as chatbots, internal assistants, and RAG-based knowledge tools. It provides a visual workflow builder, prompt and dataset management, and API endpoints to integrate apps into business systems. The product targets developers and technical teams that need a self-hosted or managed way to standardize LLM app development and operations across multiple model providers.
Open-source and self-hostable
Dify.AI offers an open-source edition that organizations can run in their own infrastructure. This supports data residency and internal security controls that are harder to enforce with purely hosted tools. Self-hosting also enables deeper customization of integrations, authentication, and deployment patterns.
Workflow-based app development
The platform includes a visual workflow approach for composing LLM steps (e.g., retrieval, tool calls, branching logic) into an application. This can reduce the amount of custom glue code required for common assistant and RAG patterns. It also helps teams standardize how applications are assembled and reviewed across projects.
Multi-model integration approach
Dify.AI is designed to connect to different LLM providers and model endpoints rather than locking users into a single model. This supports use cases such as cost/performance optimization, fallback routing, and vendor risk management. It also makes it easier to test prompts and workflows across models during development.
Enterprise governance varies by edition
Compared with more enterprise-focused platforms in this space, governance features (e.g., fine-grained policy controls, auditability, and centralized admin) may require additional configuration, add-ons, or process work depending on the deployment. Organizations with strict compliance requirements may need to validate controls and logging end-to-end. Some capabilities may differ between community and hosted/enterprise offerings.
Operational maturity depends on setup
Running LLM applications in production typically requires robust monitoring, evaluation, and incident workflows. While Dify.AI provides operational features, teams may still need to integrate external observability, CI/CD, and testing practices to reach production-grade reliability. This can increase implementation effort for organizations without established MLOps/LLMOps practices.
Complex workflows can be harder to manage
As applications grow (multiple tools, branching, and retrieval sources), workflow sprawl can become difficult to version, test, and review. Teams may need conventions for modularization, environment promotion, and change control. Without disciplined practices, maintaining many workflows can become a bottleneck.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Sandbox (Free) | Free — 200 message credits (trial) / Starter free tier | 1 team workspace, 1 team member, 5 apps, 50 knowledge documents, 50MB vector storage, 10 knowledge requests/min, 3,000 trigger events, up to 2 triggers/workflow, 30 days log history, 5,000 API rate limit/month. Sign-up gives a free trial of 200 OpenAI calls; no credit card required. |
| Professional | $59 per workspace/month | 5,000 message credits/month, 1 workspace, 3 team members, 50 apps, 500 knowledge documents, 5GB knowledge data storage, 100 knowledge requests/min, priority document processing, 20,000 trigger events/month, unlimited triggers/workflow, unlimited log history, no Dify API rate limit. Save ~17% if billed annually. |
| Team | $159 per workspace/month | 10,000 message credits/month, 1 workspace, 50 team members, 200 apps, 1,000 knowledge documents, 20GB knowledge data storage, 1,000 knowledge requests/min, top-priority document processing, unlimited trigger events, priority workflow execution, unlimited log history, no Dify API rate limit. Save ~17% if billed annually. |
Seller details
Dify.AI
San Francisco, California, United States
2023
Private
https://dify.ai/
https://x.com/dify_ai
https://www.linkedin.com/company/dify-ai
