Popular GitHub Repositories for Langgraph Supervisor Py

React UI + elegant infrastructure for AI Copilots, AI chatbots, and in-app AI agents. The Agentic last-mile ?

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

LangChain & LangGraph AI PDF chatbot agent

Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit

Set of use cases demonstrating how to build AI-featured applications.

Desktop app for prototyping and debugging LangGraph applications locally.

LangChain ? MCP

?? Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.

AI agents can now use real Android and iOS apps, just like a human.

一个用于构建集成 LangGraph 的 AI 智能体应用的、可用于生产环境的 FastAPI 模板。此模板为构建可扩展、安全且易于维护的 AI 智能体服务提供了坚实的基础。

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google Gemini 2.0 Flash and Chat GPT-4o-mini on the backend for inference.

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.digital/.

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

When Philosophy meets AI Agents

This Discord chatbot is incredibly versatile. Powered incredibly fast Groq API

Implementation of 17+ agentic architectures designed for practical use across different stages of AI system development.

A curated list of awesome projects, resources, and tools for building stateful, multi-actor applications with LangGraph ??️

For your multi-agent needs

? LangGraph for Java. A library for building stateful, multi-actor applications with LLMs, built for work jointly with langchain4j

编程导航 2025 年 AI + 微服务全栈新项目，基于 Spring Boot 3 + LangChain4j 构建对标大厂的 AI 应用生成平台，支持多种模式的智能代码生成、可视化编辑预览、一键部署分享、应用管理、AI 智能路由等。覆盖 AI 智能体开发、LangGraph4j 工作流、Tool Calling、SSE、Vue 3 全栈开发、Spring Cloud 微服务架构、MySQL / Redis / COS / Caffeine 存储、Nginx、多种设计模式、ARMS + Prometheus + Grafana 监控、Cursor Vibe Coding 等核心技术。 用一套教程掌握大厂级 AI 智能体开发+前后端核心技术，成为 AI 时代企业的香饽饽，给你的简历增加竞争力