Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

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.

A modern template for agentic orchestration — built for rapid iteration and scalable deployment using highly customizable, community-supported tools like MCP, LangGraph, and more.

Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.

A template for building WhatsApp agents using LangGraph and Twilio. This project enables you to deploy AI agents that interact with users via WhatsApp, process messages and images, and invoke custom graph-based agents. It integrates with MCP and runs on the LangGraph Platform.

AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

🟪 Open source Agent Governance Platform that turns any LangGraph or ADK agent into a production-ready service. Supports: AG-UI, CopilotKit API, OpenTelemetry, MCP, memory, guardrails, SSO, RBAC.

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.

This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

LangGraph ReAct Agents with an ability to use MCP Tools dynamically

LangGraph+A2A+MCP 实现的Agent RAG

Multiple agents with LangGraph and MCP

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.

这是一个由LangGraph协议主导的因果分析Muti-Agent，结合MCP,RAG等多种工具进行辅助进行因果分析，提供给用户一份完善的因果分析的分析报告和因果图

LangGraph agent template with MCP.

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

AI-powered SOC automation agent using LangGraph with Wazuh, Cortex, TheHive & MISP integration via MCP

Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.

🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!

Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execut

Build MCP servers & clients with Python, Streamlit, ChromaDB, LangChain, LangGraph agents, and Ollama integrations

LangGraph Agent 与 MCP Server 集成，实现AI智能聊天机器人项目

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

基于LangGraph和MCP的智能工具集成平台 - AI Agent with Multiple MCP Tools Integration

企业级 Java 多Agent系统实现（基于langgraph,MCP协议与RAG技术）

Autonomous multi-agent system for intelligent HDB resale search — combining geospatial analytics, MRT proximity, and price intelligence using DeepAgents, LangGraph, FastAPI, Gradio UI, and MCP Toolbox. Fully Dockerized with reproducible data ingestion pipelines.