stategraph

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.

面向电商订单场景以及企业内部多角色知识问答的可观测 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.

Autonomous Multi-Agent Swarm Workflow for Training Lab Deployment & Security Orchestration (IDOR/BOLA)

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’.

End-to-End Agentic AI Chatbot

Langgraph Agentic Chatbot

A multi-agent research assistant built using LangGraph

Intelligent enterprise customer & business support assistant powered by LangGraph, FastAPI, Streamlit, and Google Gemini with 19 business intents, deterministic escalation, and zero-hallucination responses.

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.

Autonomous Loop & Graph Engineering Engine for Google Antigravity & AI Coding Agents

Agentic AI Compliance Monitoring System

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.

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