Welcome
Last updated
Last updated
BroxiAI is a powerful, open-source visual framework designed to simplify the development of multi-agent and Retrieval-Augmented Generation (RAG) applications. Built in Python and fully customizable, BroxiAI is both LLM-agnostic and vector store-agnostic—giving developers full flexibility to integrate with any model or storage backend that fits their workflow.
At the heart of BroxiAI is its intuitive drag-and-drop interface, which abstracts the complexity of orchestration, communication, and chaining between agents and components. Developers can visually construct and manage intelligent workflows, rapidly iterate on ideas, and deploy real-world AI systems without getting bogged down in boilerplate code.
Whether you're building personal AI assistants, autonomous agents, internal enterprise tools, or next-generation AI products, BroxiAI equips you with the building blocks to move from concept to deployment with speed and confidence. Its modular design encourages experimentation and innovation, while its visual interface makes it accessible even to those new to AI development.
BroxiAI empowers both seasoned professionals and newcomers to harness the full potential of generative AI. With BroxiAI, your ideas don’t stay on the whiteboard—they become production-ready, intelligent systems.
Account setting
Workflow
Components
How to setup Agent?
MCP Connect
Platform intergration
