Data-Agent：从 0 到 1 构建 Text2SQL 智能体实战教程，覆盖 StateGraph 编排、双重 RAG、关系图谱、HITL 人工确认、SQL 自动纠错、Python Docker 沙盒执行与 A2A + SSE 流式交互。

TripStar multi-agent travel planner powered by Spring Boot 4, Spring AI Alibaba, StateGraph, multimodal note understanding and AMap

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

HR policy RAG workflow with LangGraph StateGraph, conditional routing, FAISS, FastAPI, and an OpenAI-compatible model API.

面向电商订单场景的可观测 AI Agent 平台，集成 StateGraph、RAG、记忆、MCP 工具与人工审批

Multi-agent article generator: Spring AI Alibaba StateGraph, token streaming over SSE, parallel image generation across six providers, Vue 3 frontend.

End-to-End Agentic AI Chatbot

Intelligent agentic design patterns using LangGraph, LangChain, and Groq. Implements stateful chat loops, human-in-the-loop tool interruption, and hierarchical supervisor multi-agent orchestrations.

This project demonstrates a complete workflow that uses 'LangGraph', a stateful orchestration framework to streamline the coordination and the integration of Large Language Models (LLMs) like OpenAI’s GPT-4o-mini with real-time search APIs like ‘Google Search’.

Langgraph Agentic Chatbot

This is a simple chatbot project built using LangGraph, a graph-based framework for orchestrating LLMs, and powered by the Groq API with the LLaMA3-8B-8192 model. The chatbot demonstrates how to structure conversational flows using state graphs and message reducers for memory. Ideal for learning how to integrate LLMs into modular applications.

Agentic AI Compliance Monitoring System

This is simple agentic chatbot with one tool Node and LLM.

A multi-agent research assistant built using LangGraph

Multi-Agent Financial Document Intelligence Platform with LangGraph, Qdrant Hybrid Search & DeepEval CI/CD gating.

A lightweight, modular LLM agent framework built using LangGraph, powered by Groq's ultra-fast LLaMA3-8B model. This project demonstrates how to create a goal-oriented agent that breaks down a user prompt into sub-tasks, executes each one using LLM reasoning, and summarizes the outcome — all within a structured graph-based flow.

Enterprise Autonomous Multi-Agent Insurance Claims Adjudication Platform powered by Dual-Engine Orchestration (Native StateGraph + LangGraph), ChromaDB Policy RAG, Multimodal OCR, Fraud Radar Forensics, and Deterministic Financial Math.

converts an n8n workflow JSON into a standalone Python script. The main framework used in python is langgraph (stategraph)

Orchestrated multi-agent research workflow (Planner -> Researcher -> Critic -> Writer) with a corrective-RAG loop over MongoDB Atlas, producing cited briefs.