{
  "id": 2860548,
  "title": "Mix and Match: One Agent, Three Clouds, One Protocol",
  "url": "https://urgent.news/2026/08/23/mix-and-match-one-agent-three-clouds-one-protocol",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-23T20:12:24.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/gde/mix-and-match-one-agent-three-clouds-one-protocol-4e5l"
  },
  "original_language": "en",
  "account": "This comparison project examines the same research agent deployed on Google ADK, AWS Strands, and Microsoft Agent Framework, all speaking the A2A protocol. The project aims to identify differences between the three hyperscaler agent frameworks once the protocol is in place. It emphasizes that A2A provides a common language for agent interoperability and outlines the components and configurations of the agent on each cloud platform.",
  "summary": "This article provides a step by step comparison of the same research agent built three times, on Google ADK, AWS Strands and Microsoft Agent Framework, all three speaking A2A to one coordinator. The code is here: github.com/xbill9/multicloud-a2a-subagent What is this project trying to Do? This project aims to find out what actually differs between the three hyperscalers' agent frameworks once the…",
  "key_points": [
    "Same research agent deployed on Google ADK, AWS Strands, and Microsoft Agent Framework",
    "A2A protocol serves as common language for agent interoperability",
    "Comparison project identifies differences between three hyperscaler agent frameworks"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}