Real-time transport layer for Java AI agents. Build once with @Agent — deliver over WebSocket, SSE, gRPC, MCP, A2A, AG-UI, or any transport. Works with Spring AI, LangChain4j, Google ADK, Embabel, Koog or the built-in OpenAI-compatible client.

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.

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Go

This deep dive explores key protocols and frameworks essential for building AI agents, including MCP, A2A, ACP, ADK, Arc, Quarkus, and LangChain4j. Attendees will learn their merits, practical implementation, and interoperability through detailed walkthroughs and demos, gaining clarity on their roles in effective LLM-based agent development.

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Local travel explorer assistant, using ADK Agents, Gemini, Vertex AI, and A2A protocol

A bunch of friendly agents ready to use with ADK, MCP, A2A et al.

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

An Agent Development Kit (ADK) allowing for seamless creation of A2A-compatible agents written in Rust

This project implements an automated marketing system using Google ADK and A2A (Agent-to-Agent) communication. It features agents that generate and post content to LinkedIn using Gemini 3 Pro (Google) model.

A multi-agent system using Google A2A and ADK to coordinate host and remote agents through MCP protocols.

AI agents compete in games using A2A protocol, ADK, and x402 micropayments.

Multi-agent badminton scheduling demo showcasing A2A communication between ADK, LangChain, and CrewAI agents with tool-based coordination.

A collection of example implementations and learning exercises for building agents with the Google Agent Development Kit (ADK) and integrating them using the Agent-to-Agent (A2A) framework.

This repository provides examples of Google's ADK agents equipped with extensible skills via MCP servers and demonstrates how to expose them to platforms like Gemini Enterprise using the Agent-to-Agent (A2A) protocol.

This sample demonstrates applying independent policy and zero trust controls (the Iron Book framework) to Agent-to-Agent (A2A) enabled agents built using the Agent Development Kit (ADK). The sample implements two agents that perform capability-gated action delegation to one another via granular policy adherence.

a2a adk mcp agent implementation for supply chain agents

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A personal playground for exploring how A2A orchestrates communication between host and remote agents using Google ADK.

Multi-agent badminton scheduling demo showcasing A2A communication between ADK, LangChain, and CrewAI agents with tool-based coordination.

A multi-agent trip planning application built with Google ADK, MCP servers, and A2A design patterns. Agents collaborate to handle destination research, itinerary generation, and hotel/flight booking research, demonstrating orchestration of tool-using LLMs in a real-world travel scenario.

End-to-end multi-agent tutoring system that plans sessions, checks topic relevance, explains concepts, generates practice, and books tutoring sessions. Powered by an agentic RAG over course materials, LangGraph orchestration, Google ADK based orchestrator and sub agents, an A2A protocol server, an MCP tool server, and a Streamlit frontend.

ADK + MCP + A2A Agents Project

Agents with ADK: A2A, RAG, MCP

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Quickstart for creating A2A agents using ADK

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A multi-agent A2A demonstration revealing hidden infrastructure through AI collaboration

AI Agents built with ADK with A2A and MCP