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。

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

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

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

Project to learn and understand LangGraph basics

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

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.

A multi-agent research assistant built using LangGraph

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

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.

Agentic AI Compliance Monitoring System

An intelligent job aggregation and CV analysis platform powered by AI. Search for jobs across multiple sources and optimize your resume with AI-driven insights.

An agent that scans your GitHub repositories on demand and publishes one issue per repository (labeled repo-health) with prioritized findings:

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