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Dify - Open-Source LLM App Builder with RAG & Agents | AI.info
Dify is the open-source platform for building LLM applications with visual workflows, RAG pipelines, and agent orchestration. Self-host or use cloud.

In inglese
Dify is a visual platform for creating AI applications with workflows, agents, knowledge pipelines, model providers, tools, and integrations. Apps can be published as web experiences, APIs, embeds, or MCP-compatible tools, with logs and usage monitoring.
Teams can use Dify Cloud, self-host Dify Enterprise, or deploy the Community Edition with Docker. Cloud plans include message credits, while model usage beyond included credits may require users to connect their own provider API keys. Enterprise pricing is custom.
Features
- Build visual workflows with prompts, retrieval, decisions, tools, and human input
- Create agents by chatting or configuring skills, tools, and knowledge
- Extract, clean, chunk, index, and test knowledge from files, websites, and drives
- Install model providers, tools, data sources, and MCP integrations
- Publish apps as hosted experiences, API endpoints, embeds, or MCP-compatible tools
- Monitor logs, feedback, annotations, latency, and usage data
- Self-host with Docker under the Apache-2.0-derivative license
Use cases
- Build customer-support chatbots grounded in company documents
- Create internal agents that retrieve data and call business tools
- Automate multi-step research, routing, and approval workflows
- Prototype and deploy AI applications without building infrastructure
- Create searchable knowledge bases from files, websites, and online documents
Pros
Cons
Latest updates
Capabilities
- Choice of models — “Credits are provided to help you easily try out different models from OpenAI, Anthropic, Gemini, xAI, Tongyi in Dify.” source
- Self-hosted — “Self-host or run in your VPC.” source
- API — “Publish Dify apps as hosted experiences, API endpoints, embeds, or MCP-compatible tools.” source
- Builds agents and workflows — “Build an agent by chatting or configuring it manually.” source
- Search over your data — “Prepare searchable knowledge bases” source
- Traces and evaluates — “Use logs, feedback, annotations, latency, and usage data to understand what happened and improve the app over time.” source
Get it
Pricing
- Starting price
- $590/yr
- Prices checked
- 2026-09-25
- Read
- by web search
Sandbox
Free
- 200 message credits
- 1 Team Workspace
- 1 Team Member
- 5 Apps
- 50 Knowledge Documents
- 50MB Knowledge Data Storage
Professional
- $590 per workspace / year
- 5,000 message credits / month
- 1 Team Workspace
- 3 Team Members
- 50 Apps
- 500 Knowledge Documents
- 5GB Knowledge Data Storage
Enterprise
Price on request
- Enterprise-grade Scalable Deployment Solutions
- Commercial License Authorization
- Multiple Workspaces & Enterprise Management
- SSO
- Advanced Security & Controls
- Professional Technical Support