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。
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Updated
Jul 15, 2026 - Kotlin
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)
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’.
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.
Langgraph Agentic Chatbot
Agentic AI Compliance Monitoring System
A multi-agent research assistant built using LangGraph
This is simple agentic chatbot with one tool Node and LLM.
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
Multi-Agent Financial Document Intelligence Platform with LangGraph, Qdrant Hybrid Search & DeepEval CI/CD gating.
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.
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