LangGraph+A2A+MCP 实现的Agent RAG

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.

🤖💬🤖 Agent-to-Agent (A2A Protocol) built on top of LangGraph

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.

Unified multi-layer caching library for AI/agent pipelines — LangChain, LangGraph, AutoGen, CrewAI, Agno, A2A

Implementing LangGraph's Supervisor-type multi-agent using A2A Protocol

A pre-built A2A Agent Executor for LangGraph Python

The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.

OpenAI, LangGraph, ADK and Strands agents using AgentCore primitives communicating via A2A

A2A protocol demo: Orchestrated AI agents for retail using Google ADK, LangGraph, and Vertex AI Search

A production-ready agent server built with LangGraph that implements the Agent-to-Agent (A2A) protocol

Math Olympiad Agent solves IMO-level problems with a self-verification pipeline, inspired by Huang & Yang’s 2025 paper. Built with LangGraph and A2A protocol for agent collaboration, it generates rigorous TeX proofs. Check it out!

📘 Metriqe AI Training Repository – A curated collection of hands-on course materials and code for Metriqe’s corporate training in Python and Generative AI. This repo includes examples and notebooks covering core Python, OpenAI chatbots, LangChain workflows with LangFlow, LangGraph multimodal agents, Google A2A & Anthropic MCP integrations.

A2A (Agent-to-Agent) Protocol server implementation for LangGraph agents.

A2A (Agent-to-Agent) Protocol Client Tool for LangGraph.

Creating a Travel Planner Multi agent system using A2A, AG-UI, Crewwai,Google ADK and Langgraph

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This project demonstrates Agent-to-Agent (A2A) conversations using LangGraph with the A2A protocol. It includes implementations in both **Python** and **TypeSc…

⭐ Curated list of AI Agent frameworks: AutoGen, CrewAI, MetaGPT, LangGraph, Swarms. Multi-Agent Systems, Swarm Intelligence, A2A Protocol, MCP Protocol. LLM Agents, Agentic AI, Agent Workflows.

Comprehensive AI Agent study project with 31 examples across 12 frameworks (LangChain, CrewAI, AutoGen, LangGraph, Pydantic AI, OpenAI Agents SDK, LlamaIndex, Microsoft Agent Framework, MCP, A2A)

The Tavily-A2A-Agent is an AI agent built with the LangGraph framework, leveraging Agent-to-Agent (A2A) communication and Tavily’s advanced search capabilities via the Tavily MCP Server. It showcases how autonomous agents can collaborate using real-time web search integrated seamlessly into their workflows.

A sample project to demonstrate how a langgraph ReAct agent can be wrapped with the A2A protocol

Production-grade multi-agent SRE platform using LangGraph, MCP, and A2A protocols. 5 autonomous agents (Monitor, Diagnose, Policy, Remediate, Report) with episodic memory (Mem0), AI governance guardrails, human-in-the-loop approval gates, and 87% cost optimization via intelligent model routing.

A collaborative Agent-to-Agent (A2A) system built using LangChain and LangGraph, designed to generate detailed and well-structured research reports through intelligent agent cooperation.

Multi Agent Travel Chat Service System Using Langgraph, A2A, MCP Frameworks

Universal Multi-Agent Orchestration Platform — A2A v0.3 + LangGraph + MCP + SHA-256

Gen AI, Agentic Workflows and Prompt Engineering - Langchain, Langgraph, Checkpointing, Guardrails, MCP/A2A

Notes on gen AI concepts and tools. POC on agentic AI with MCP, A2A, langGraph, langchain, openAI LLM, crewAI

Complete LangGraph multi-agent development workspace with Claude Code skills, reference docs, and production-ready examples. Build research agents, automate Agile workflows, and deploy A2A systems.

Federated Agent Swarm with A2A Protocol — Enables secure, cross-platform communication between autonomous agents (Chimera, CrewAI, LangGraph). Zero-trust identity + discovery + audit trail. Built on Project Chimera.