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Langgraph github projects. It serves as a compilation of personal practices, small projects, and This library implements the CodeAct architecture in LangGraph. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. It LangGraph is inspired by Pregel and Apache Beam. Handles streaming, auto-scrolling, accessibility, and real Why This Exists Building multi-agent systems with LangGraph means writing the same boilerplate over and over — setting up supervisors, wiring handoff tools, configuring providers, LangChain Academy – Learn the basics of LangGraph in our free, structured course. Which are the best open-source langgraph projects? This list will help you: deer-flow, CopilotKit, GenAI_Agents, ai-pdf-chatbot-langchain, agent-service-toolkit, agentic-rag-for-dummies, This GitHub repository showcases production-tested implementations integrated with the LangChain 🔗 ecosystem. This repo provides practical examples of using LangGraph for building agent-based LangGraph examples This directory is retained purely for archival purposes and is no longer updated. These examples demonstrate: Core LangGraph concepts Graph structure LangGraph is a revolutionary library for building stateful, multi-actor applications with Large Language Models (LLMs). ReAct agents NOTE: The open source projects on this list are ordered by number of github stars. These template repositories address common use cases and are designed for easy configuration and deployment to LangGraph Cloud. LangGraph is a library GitHub is where people build software. A curated list of awesome projects, resources, and tools for building stateful, multi-actor applications with LangGraph 🦜🕸️ - jonatasamorim/LangGraph 🦜🕸️ Awesome LangGraph & LangChain Ecosystem The definitive index of frameworks, templates, and real-world projects for building stateful, tool-using AI LangGraph is gaining significant traction for building robust, stateful AI agents and multi-agent systems. This GitHub repository showcases production Contribute to langchain-ai/langgraph-supervisor-py development by creating an account on GitHub. js, showing how to get started with LangGraph Server and using LangGraph Studio, a Build resilient language agents as graphs. This project demonstrates a fullstack application using a React frontend and a LangGraph-powered backend agent. While langchain 10 LangGraph project ideas and examples to build intelligent langgraph agents for real-world applications and gain valuable hands-on experience. ⭐️ Featured projects from LinkedIn, Uber, and Here's a list of top 20 trending LangGraph projects or assignment ideas for AI Engineers and LLM Developers, drawing inspiration from current 10 LangGraph project ideas and examples to build intelligent langgraph agents for real-world applications and gain valuable hands-on experience. I built a multi-usecase Agentic AI chatbot with 3 distinct graph architectures: 🔹 If you would rather use pyproject. js projects in LangGraph Studio and deploying them to LangGraph Cloud. Case studies – Hear how industry leaders use LangGraph to ship AI applications Labels bugSomething isn't workingcliRelated to `deepagents-cli`deepagentsRelated to the `deepagents` SDK / agent harnessexternalUser is not a member of the `langchain-ai` GitHub New LangGraph Project This template demonstrates a simple application implemented using LangGraph, designed for showing how to get started with Just shipped my first end-to-end LangGraph project — and building it changed how I think about AI agents. Using SEEED products to create various projects. js. 🔍 Awesome LangGraph Projects A curated list of enterprise-ready LangGraph projects, templates, and agents. New LangGraph Project This template demonstrates a simple application implemented using LangGraph, designed for showing how to get started with LangGraph Server and using LangGraph LangGraph. The LangChain community in Seoul is excited to announce the A comprehensive learning project exploring LangGraph - a framework for building stateful, multi-step applications with large language models (LLMs). It extends the LangChain This is a sample project that will help you get started with developing LangGraph. py # Handles configuration and initialization ├── tools. The examples in this repository LangChain is a framework for building agents and LLM-powered applications. It implements an alternative to JSON function This is an example monorepo with multiple agents to deploy with LangGraph Cloud. To This project demonstrates an end-to-end implementation of an Agentic AI Chatbot using LangGraph's state management capabilities. im. toml for managing dependencies in your LangGraph Cloud project, please check out this repository. js – build LLM agents as graphs Deep Agents and Deep Agents. These template repositories address common use cases Build resilient language agents as graphs. The public interface draws inspiration from NetworkX. Contribute to G6EJD/Seeed-Projects development by creating an account on GitHub. Contribute to jiadevr/LangChainAndLangGraph development by creating an account on GitHub. The examples previously found here have been moved to the newly consolidated LangChain This tutorial delves into LangChain, starting from an overview then providing practical examples. txt for managing dependencies in your LangGraph Cloud project, please check out this repository. This project offers hands-on examples for LangChain and LangGraph, complementing their textbooks with practical guides on workflows, tools, and A Python library for creating swarm-style multi-agent systems using LangGraph. You understand that agents need explicit structure - graphs make the flow visible and LangGraph 平台 — 使用专为长期运行、有状态工作流打造的部署平台,轻松部署和扩展智能体。 在团队之间发现、复用、配置和共享智能体 — 并在 LangGraph Studio 中通过可视化原型设计快速迭代。 assistant-ui is an open source TypeScript/React library to build production-grade AI chat experiences fast. A library for building stateful, multi-agents applications with LLMs, built for work with langchain4j and Spring AI It is inspired LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking Contribute to langchain-ai/new-langgraph-project development by creating an account on GitHub. These projects showcase real-world If you've built more than one LangGraph project, you know the drill. This project includes several agent implementations, each demonstrating different LangGraph patterns. 技术栈:LangGraph + ArXiv API + Semantic Scholar + GraphRAG + GPT-4/Claude 🎮 项目七:桌游小镇社会模拟 - 大规模Agent系统(⭐ 高级,展示系统设计能力) 🎓 项目八:毕业设计 - 综 Deep research has broken out as one of the most popular agent applications. I built a multi-usecase Agentic AI chatbot with 3 distinct graph architectures: 🔹 Just shipped my first end-to-end LangGraph project — and building it changed how I think about AI agents. With money raised, we can repay the effort of each person involved! You Repository for all of the code written for the FreeCodeCamp LangGraph Course, including solutions for all exercises. The best 🧠 Text-to-SQL AI Agent (LangGraph + RAG + SQLite) An intelligent AI-powered application that converts natural language queries into SQL, executes them on a database, and returns results — built using CodeSentinel AI is a production-grade, multi-agent GenAI platform that automatically reviews GitHub Pull Requests — detecting security vulnerabilities, bugs, and performance issues before they reach A LangGraph-powered agent that automatically explains and documents your Jupyter notebook cells in real-time, creating comprehensive markdown documentation as you code. " MCP is an open standard designed to facilitate seamless LangGraph-GUI Graph Examples repo at LangGraph-GUI/examples Remembmer, these examples are act different output and process on different llm model. A swarm is a type of multi-agent architecture where agents dynamically hand off If you would rather use requirements. You understand that agents need explicit structure - graphs make the flow visible and LangGraph 平台 — 使用专为长期运行、有状态工作流打造的部署平台,轻松部署和扩展智能体。 在团队之间发现、复用、配置和共享智能体 — 并在 LangGraph Studio 中通过可视化原型设计快速迭代。 Deep research has broken out as one of the most popular agent applications. Discover the most popular AI open source projects and tools related to Langgraph, learn about the latest development trends and innovations. It helps you chain together interoperable components and third-party integrations to LangGraph is inspired by Pregel and Apache Beam. It leverages the Gemma2-9b-It language model from Groq About LangChain projects: multi‑tool agent, RAG QA, LangGraph writing assistant. LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without New LangGraph. js A collection of open source projects and applications built using LangGraph. The Welcome to the official repository for The Complete LangGraph Blueprint, authored by James Karanja Maina. MIT license Activity 0 stars Build resilient language agents as graphs. Welcome to the LangGraph Project Series — a curated collection of beginner-friendly projects designed to help you learn and build with LangGraph, a powerful framework for building About LangGraph-Hub is a centralized repository for exploring, experimenting, and building with LangGraph. Each directory focuses on a LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Unlike a normal LLM chatbot that This repository contains hands-on tutorials for learning LangChain, LangGraph, and Deep Agents, organized into two learning tracks: 101: Fundamentals of building New LangGraph Project This template demonstrates a simple application implemented using LangGraph, designed for showing how to get started with LangGraph Server and using LangGraph Comprehensive tutorials for LangChain, LangGraph, and LangSmith using Groq LLM. LangGraph for Java. Learn to build advanced AI systems, from basics to production-ready LangGraph is a low-level orchestration framework for building stateful, multi-actor applications with Large Language Models (LLMs). You can render their graphs to PNG via the CLI (see Deployment) and run them from the terminal or Discover amazing open-source projects and innovative tools built by the community using the LangGraph ecosystem. Separate from the LangChain package, LangGraph Build resilient language agents as graphs. About This repository houses a collection of Colab Notebooks showcasing practical applications and explorations of LangGraph. js Project This template demonstrates a simple chatbot implemented using LangGraph. Also, a list of YouTube videos and tutorials covering LangGraph. Contribute to langchain-ai/langgraph development by creating an account on GitHub. Build & explore AI applications with LangGraph! 🚀 This repo features examples like basic chatbots and multi-stage pipelines powered by Groq's """ project/ │ ├── state. Supervisor setup. This is a simple, configurable, fully open source deep research Role: LangGraph Agent Architect You are an expert in building production-grade AI agents with LangGraph. The agent is designed to Awesome LangGraph. py # Defines the agent's state ├── prompts. Build resilient language agents as graphs. py # Contains A hands-on exploration from basic state graphs to production-ready chatbots with persistent memory Welcome to my LangGraph Learn! This repo is where I document my journey through LangGraph This project demonstrates building a simple chatbot using LangGraph and LangChain libraries. Provider Tagged with langchain, ai, programming. LangGraph Studio is a tool to observe, About A Collection of Agentic AI Projects using LangGraph for Agentic Graphs and LangStudio workflow visuals of the graph This project provides three end-to-end multi-agent chatbot examples built on LangGraph and LangChain, showcasing both centralized “Supervisor” and LangGraph and LangGraph. This repository contains practical examples, langgraph-mcp: This project showcases the integration of LangGraph with the Model Context Protocol (MCP) to build a "Universal Assistant. Contribute to nvns10/langgraph_examples development by creating an account on GitHub. LangGraph provides a way to model complex conversational flows, manage state, and integrate external tools and APIs seamlessly. Its graph-based approach allows for complex LangChain和LangGraph官方文档案例使用国内API实现版本. It includes structured notes, utility functions, and diverse Awesome Go has no monthly fee, but we have employees who work hard to keep it running. LangGraph Learning Repository Welcome to the LangGraph Learning Repository! This comprehensive collection contains hands-on examples, tutorials, and practical implementations of Build resilient language agents as graphs. Unlike high-level Foundation: Introduction to LangGraph - Python Learn the basics of LangGraph - our framework for building agentic and multi-agent applications. This book guides you through creating 50+ AI agents LangGraph Studio is an environment to which a GitHub project can be deployed to, and tested and interrogated. LangGraph is built by LangChain Inc, the creators of LangGraph ReAct Agent Template This template showcases a ReAct agent implemented using LangGraph, designed for LangGraph Studio. Compared to other LLM frameworks, it offers these core benefits: cycles, FastAPI MCP LangGraph Template A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, Today we are excited to announce LangGraph templates, available in both Python and JS. This is the architecture is used by Manus. js Examples This repository contains a series of example TypeScript projects which implement LangGraph. LangGraph is a library for building stateful, multi-actor applications with LLMs. . js – agents that can plan, use subagents, and leverage file systems for This project implements an intelligent chatbot in Python that combines LLM reasoning (Google Gemini) with external tool execution using LangGraph. Contribute to lloydchang/langchain-ai-langgraph development by creating an account on GitHub. LangGraph is a library LangGraph is a Python framework for designing and managing task flows in applications using graph structures. py # Manages prompt templates ├── config. js agents.
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