langgraph

The purpose of the "Meta Agent with More Agents" project is to dynamically solve complex queries by breaking them down into smaller tasks and assigning each to specialized AI agents. The Meta Agent coordinates the process, leveraging a ReAct Agent for tool-based tasks and a Chain of Thought Agent for reasoning-based tasks. The system's flexibility.

Open-source, self-hosted LangGraph Agent Server. Production Postgres + Redis. Same SDK. Same Studio. Zero code changes.

LangGraph Typescript Agents Notebooks: email, human in the loop, memory

This repository contains the source code for an autonomous multi-agent system built with CrewAI and LangChain. The project enables AI agents to collaborate on tasks such as researching, writing, and editing essays.

A batteries-included monorepo framework for building sophisticated LangGraph applications

Telegram bot wrapping TradingAgents — chat-driven watchlist with parallel multi-ticker analysis, cancellation, and Telegraph reports.

Efficient AI English Learning: Read & Speak via Web | 英语学习，英语单词，通过 AI 学英语朗读，对话的高效 Web 应用

Interactive notes (Jupyter Notebooks) for building AI-powered applications

Clone of writesonic.com & copy.ai - BlogIQ is an innovative app powered by OpenAI and Langchain, designed to streamline the content creation process for bloggers.

智能体系统设计与实战：基于langchain与langgraph，Agent System Design and Practical Applications: Based on LangChain and LangGraph

一个基于多智能体协作（Multi-Agent）深度研究系统，能够将宏大的模糊课题自动拆解，通过并行联网搜索、智能体内部审查与自纠错，最终撰写生成包含严谨数据、文献来源指向及可视化图表的深度研究长文。

Local-first AI research assistant: plans sub-queries, searches the web, and writes fully cited reports. LangChain + LangGraph multi-agent + FastAPI + Next.js, with email-OTP auth and per-user Postgres storage.

AI Data Engineering Healthcare Platform: PySpark Medallion Lakehouse, Airflow DAGs, 5 ML Models, Local LLM RAG, and FastAPI Clinical Architecture.

Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)

AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating of Medical Knowledge Graphs (MKGs), integrates reasoning, and retrieves current external evidence for medical Question Answering (QA).

Building production-ready Retrieval-Augmented Generation (RAG) systems with LangGraph orchestration and local Ollama models for privacy-preserving AI applications.

RE:从0开始的RAG学习生活。包含LangChain、LangGraph、LangSmith、PydanticAI等框架和工具的学习教程。

A production-ready, scalable multi-agent system built with LangGraph, featuring specialized agents for different tasks with best coding practices.

A modular backend framework for building AI chat applications powered by large language models (LLMs)

AI-powered fashion recommendation system leveraging LLMs, embeddings, and retrieval techniques to deliver personalized shopping experiences.