LangGraph Multi-Agent AI System

LangGraph Multi-Agent AI System

Created by team everion on October 25, 2026
AI/ML APIQdrantBright Data MCP Server

As AI assistants evolve from simple chat interfaces to autonomous workers, developers need robust frameworks to handle complex, multi-domain workflows (such as querying academic knowledge bases, managing GitHub repos, and handling calendar/email productivity). Traditional monolithic prompts fail when scaling across diverse toolsets. We set out to build a clean, production-ready architecture that bridges autonomous multi-agent orchestration with a responsive, full-stack dashboard—giving users a unified command center powered by specialized AI agents. Orchestration & Logic: LangGraph, LangChain Core, Claude 3.5 Sonnet (ChatAnthropic) Vector Database & RAG: Qdrant Vector Cloud, FastEmbed Tool Protocols: Custom MCP (Model Context Protocol) servers using FastMCP Backend: FastAPI, Uvicorn, Python Frontend: React, Vite, modern CSS dark-theme dashboard with real-time state route indicators and animated agent badges

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