LangGenius, Inc

Visually build complex AI applications using drag-and-drop workflows. Define how AI applications think, retrieve, branch, call tools, and return results — with logic that is testable, debuggable, and transferable across teams.

Extract data from diverse sources, transform and index it into vector databases for optimal LLM use. Built-in multilingual retrieval and summarization turn scattered documentation into instantly searchable knowledge.

Connect to external APIs, databases, and services through the standardized Model Context Protocol (MCP). Publish Dify-built workflows as standard MCP Servers accessible to unlimited MCP clients.

Access, switch, and compare 200+ LLMs worldwide — open-source, proprietary, or private enterprise models. Route requests and evaluate performance from a single control plane.