Where can I deploy agents created with these patterns?

This skill includes deployment scripts and templates specifically for Google Cloud Run, Google Kubernetes Engine (GKE), and Agent Engine.

What is the purpose of an Agent Card?

An Agent Card (typically located at /.well-known/agent.json) is a metadata file that defines an agent's skills, supported modalities, and endpoint URLs so other agents can discover and use them.

Can I use this skill with agents built outside of Google ADK?

Yes, the A2A patterns are designed to enable collaboration across different frameworks including CrewAI and LangGraph, provided they implement the A2A protocol.

What is the A2A protocol in Google ADK?

The Agent-to-Agent (A2A) protocol is a communication standard that allows AI agents to discover each other's capabilities via Agent Cards and collaborate using standardized JSON-RPC or gRPC messages.

Google ADK Multi-Agent Patterns

Name: Google ADK Multi-Agent Patterns
Author: vanman2024

byvanman2024

Desarrollo de API

Implements Agent-to-Agent (A2A) protocol patterns for Google ADK to enable seamless multi-agent discovery, communication, and orchestration.

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This skill provides a comprehensive suite of implementation patterns for the Agent2Agent (A2A) protocol within the Google Agent Development Kit (ADK). It enables developers to transform standalone AI agents into interoperable services by providing templates for server-side exposure, client-side consumption, and complex multi-agent orchestration. By utilizing standardized Agent Cards and JSON-RPC/gRPC messaging, this skill facilitates cross-framework collaboration (between ADK, CrewAI, and LangGraph) and simplifies deployment across Google Cloud platforms like Cloud Run and GKE. It is an essential toolkit for building distributed, collaborative AI ecosystems.

Características Principales

Standardized A2A server-side patterns to expose agents as services
Client-side templates for consuming remote agents as sub-agents
Multi-agent orchestration patterns for coordinator and specialist workflows
Automated Agent Card generation for capability discovery and metadata
0 GitHub stars
Support for both JSON-RPC and high-performance gRPC transport protocols

Casos de Uso

Integrating agents built on different frameworks into a unified multi-agent system
Deploying AI agents as scalable microservices on Google Cloud infrastructure
Building specialized agent clusters for complex tasks like research, analysis, and synthesis

Acerca de

Características Principales

Standardized A2A server-side patterns to expose agents as services
Client-side templates for consuming remote agents as sub-agents
Multi-agent orchestration patterns for coordinator and specialist workflows
Automated Agent Card generation for capability discovery and metadata
0 GitHub stars
Support for both JSON-RPC and high-performance gRPC transport protocols

Casos de Uso

Integrating agents built on different frameworks into a unified multi-agent system
Deploying AI agents as scalable microservices on Google Cloud infrastructure
Building specialized agent clusters for complex tasks like research, analysis, and synthesis