dify is an agent orchestration repository at langgenius/dify; GitHub metadata summarizes it as: Production-ready platform for agentic workflow development. License metadata lists Other. GitHub metadata shows about 140,646 stars. The project homepage is https://dify.ai.
License
Other
Stars
146,604
Homepage
https://dify.ai/Features
- Maintainer description for dify: Production-ready platform for agentic workflow development.
- dify helps evaluate coordination, planning, or task-decomposition patterns in agent systems.
- dify can inform repeatable automation, scheduled execution, or operations workflow design.
- dify fits engineering teams assessing code, CLI, SDK, runtime, or developer-tooling workflows.
- dify lists Other license metadata; review obligations before redistribution or hosted use.
- dify has about 140,646 GitHub stars in the local metadata snapshot.
Use Cases
- Use dify when the need is agent orchestration and the repo summary matches: Production-ready platform for agentic workflow development.
- Compare dify's implementation approach before committing to an internal build.
- Use dify to test agent coordination patterns with a concrete open-source codebase.
- Use dify to turn repeated operational steps into a testable automation prototype.
- Use dify to study developer-tooling implementation details before building internal workflows.
- Complete a Other license review before packaging dify into a commercial or hosted workflow.
FAQ
Start from the repository summary (Production-ready platform for agentic workflow development.), then verify maintenance status, integration boundaries, and whether its agent orchestration, workflow automation, developer engineering workflows focus matches the intended workflow. Repository: https://github.com/langgenius/dify. Stars: about 140,646. License: Other.
dify is best treated as a repository-level component or reference implementation for agent orchestration, workflow automation, developer engineering workflows. Good evaluation scenarios include: Use dify when the need is agent orchestration and the repo summary matches: Production-ready platform for agentic workflow development. Compare dify's implementation approach before committing to an internal build. Use dify to test agent coordination patterns with a concrete open-source codebase.
Related Guides
Agents & Frameworks
Best AI Agent Tools in 2026
Compare AI agent tools for research, automation, office work, local workflows, multi-agent collaboration, and internal agent apps.
View guideAgents & Frameworks
Best AI Agent Frameworks in 2026
Compare AI agent frameworks for building controllable AI agents, RAG systems, tool-using workflows, multi-agent apps, and production LLM products.
View guide