LangGraph template for a simple ReAct agent

LangGraph-powered ReAct agent with Model Context Protocol (MCP) integration. A Streamlit web interface for dynamically configuring, deploying, and interacting with AI agents capable of accessing various data sources and APIs through MCP tools.

Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.

Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.

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基于 LangChain/LangGraph 的 ReAct Agent 学习项目，结合 RAG、工具调用与 Streamlit 界面，面向智能客服与报告生成场景。

LangGraph ReAct Agents with an ability to use MCP Tools dynamically

ACE LangGraph: ReAct Agent with Adaptive Learning - Integrating ACE framework with LangGraph for self-improving agents

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

A minimal working example of a Human-in-the-Loop (HITL) agent using LangGraph and FastAPI. This demo shows how to pause a LangGraph agent, wait for user input from a frontend, and resume execution — using embedded mode and a simple React UI.

A Text2Cypher ReAct agent built with LangGraph and the Neo4j Cypher MCP server.

This project demonstrates how to implement runtime configuration patterns in ReAct Agents and supervisor-style architectures using LangGraph. It shows the progression from hardcoded agents to flexible, configurable systems.

🤖 Advanced AI agent system combining ReAct reasoning and Plan-Execute strategies with unified memory, reflection patterns, and browser automation tools. Built with LangGraph, LangChain, and Google Gemini.

Multi-agent会话式金融研究平台。提供专业智能体（价格分析、新闻追踪、宏观经济、深度研究），支持实时流式响应、自动生成8章节投资报告和投资组合监控。采用LangGraph、FastAPI和React技术栈开发。

AI-powered(Lovable clone) React app builder using natural language. Multi-agent system with LangGraph orchestrates code generation in isolated E2B sandboxes. FastAPI backend with WebSocket streaming, Next.js frontend, PostgreSQL storage. Supports OpenAI, Google Gemini, Anthropic & HuggingFace LLMs.

QozeCode 是轻量级的 命令行 AI agent，基于 LangGraph 架构构建的专业级命令行智能体（AI Agent）。它旨在将大语言模型的推理能力与终端操作环境深度融合，通过 ReAct（Reasoning and Acting）范式，实现复杂开发任务的自动化执行。

AI agent that researches stocks like a team of analysts — runs Bull vs Bear debates, challenges its own reasoning, and delivers probability-weighted verdicts. Built with LangGraph, FastAPI, and React.

This repo demonstrates building a simple ReAct AI agent to perform tasks such as retrieving GitHub repo details via REST APIs, using LangGraph to define workflows.

AI-Native SOC automation platform. Multi-agent orchestration (LangGraph Supervisor + Worker SubGraphs), pluggable Skill system, and a React WebUI for alert triage and human-in-the-loop command execution.

Template for Retreival-Augmented Generation (RAG) application using Milvus for vector storage, LangGraph for ReAct agentic workflows, and Streamlit for a front end. Runs locally on Ollama with a pipeline to ingest markdown documentation.

This is a repository to create a ReAct agent. This is a spin-off of a template I created for my work in IBM. This repository uses LangGraph, Chainlit and FastAPI.

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LangGraph-based AI agents tackling complex tasks from the GAIA benchmark. Final project for the Hugging Face Agents course. Includes ReAct, Reflection, Plan-Execute, and Multi-Agent systems.

智能医疗问诊系统 - LangGraph Agent + RAG + React

🚀LangGraph Deployment Kit is a framework for deploying, and running LangGraph-based AI agents as backend services, with built-in support for real-time streaming, analytics via Langfuse, and seamless integration with React frontends using the agent-react-hook npm package.

Taro.ai - SurrealDB Agentic Search Harness. LangGraph ReAct agent with 8 search tools (vector, BM25, graph, hybrid RRF). Built at LangChain x SurrealDB Hackathon 2026.

An intelligent multi-agent AI assistant powered by Gemini LLM using the ReAct pattern to orchestrate five specialized agents (crypto, stocks, portfolio, RAG, web search) through MCP. Features a LangGraph supervisor with streaming Gradio UI.

Generate production-ready multi-agent AI projects from plain English. Supports CrewAI, LangGraph, WatsonX Orchestrate, CrewAI Flow, and ReAct with built-in sandbox verification, OllaBridge/Ollama inference, and enterprise wizard UI.

Bu proje, LangGraph kullanarak geliştirilmiş gelişmiş bir ReAct (Reasoning and Acting) Agent uygulamasıdır. Agent, doküman arama, hesaplama ve zaman sorgulama gibi çeşitli araçları kullanarak kullanıcı sorularını yanıtlayabilir.

This repo showcases the implementation of a react agent with tool use using both langgraph and agno as agentic orchestration frameworks