Dify is an open-source LLM app development platform with an intuitive interface combining AI workflow, RAG pipeline, agent capabilities, model management, and observability features, letting you quickly go from prototype to production.
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. It provides workflow building, comprehensive model support, a Prompt IDE, RAG capabilities, agent capabilities, LLMOps, and Backend-as-a-Service. All of Dify's offerings come with corresponding APIs so users can integrate Dify into their own business logic.
Designed as a platform for developing LLM applications, letting users go from prototype to production by building and testing AI workflows, integrating models, crafting prompts, building RAG pipelines, defining agents with tools, monitoring application logs/performance (LLMOps), and integrating Dify into their own business logic via APIs.
Dify is an open-source LLM application development platform for building agentic workflows, AI agents, and orchestrated pipelines. While the entrypoint code showed no autonomy signals, surface analysis reports that the platform executes arbitrary code and shell commands — capabilities consistent with code-interpreter and tool-execution nodes in agentic workflows. The platform is explicitly designed to run multi-step agentic workflows and tool calls, which place it at Tier 4 (acts autonomously). It does not modify its own core code or spawn self-directed agents without oversight, so it stops short of Tier 5.
Side effects
• Executes arbitrary code
• Executes shell commands
• Calls external APIs and tools within workflows
• Reads/writes files and datastores
• Triggers downstream automated actions in built applications