◉ANTIGRAVITY LABJP
Articles/Agents & Manager
◈ Agents & Manager/2026-04-01Advanced

Antigravity × A2A Protocol: Complete Implementation Guide for Scalable Multi-Agent Systems

A complete guide to implementing Google's A2A (Agent-to-Agent) protocol with Antigravity. From agent card design to task delegation, streaming communication, and production deployment on Cloudflare Workers.

A2A4agents144multi-agent50AgentKit17protocoldistributed-ai

✦ Premium Article

Setup and context — How A2A Is Reshaping Agent Architecture

The day I stood up my first agent, I spent half an hour hammering curl trying to work out why my own client kept getting a 404. It wasn't auth, and it wasn't CORS. The article I'd copied the path from had been written before the spec settled, and the card was simply not where I was looking for it. What had fallen behind wasn't the code — it was me.

The A2A (Agent-to-Agent) protocol is an open standard for letting AI agents communicate and delegate tasks to one another. It was released in April 2025 and is now stewarded by the Agentic AI Foundation under the Linux Foundation. The spec has reached v1.0, and operation names and Agent Card structure both changed along the way. This is an area where guides with working code go stale fast, so I've put links to the primary sources I actually relied on inline throughout.

Before A2A, building multi-agent systems meant inventing a proprietary communication layer for each project. A2A changed that by providing a standard HTTP/SSE-based interface so agents built with different frameworks and languages can interoperate out of the box.

This guide walks you through building an A2A-compliant agent system with Antigravity, from first principles to production deployment. We cover agent card design, task delegation patterns, streaming, authentication, error handling, and deploying to Cloudflare Workers — everything you need to ship a robust multi-agent system.

What this article covers:

  • A2A protocol core concepts (Agent Cards, Tasks, Artifacts)
  • Setting up Antigravity + AgentKit 2.0
  • Designing and serving Agent Cards
  • Task delegation patterns (synchronous, asynchronous, streaming)
  • Authentication and security
  • Error handling and retry strategies
  • Deploying to Cloudflare Workers
  • A practical end-to-end pipeline example

A2A Protocol Core Concepts

Before writing any code, let's nail down the four building blocks of A2A.

Agent Card

The Agent Card is the agent's "business card" — a JSON manifest published at /.well-known/agent-card.json. It declares what the agent can do (skills), how to reach it (endpoint, auth schemes), and what input/output formats it supports.

One note on that path, since it cost me an afternoon. Early samples and older write-ups often show /.well-known/agent.json, but the standard path defined in the A2A Agent Discovery docs is /.well-known/agent-card.json, following the well-known URI conventions of RFC 8615. I pasted code from a transitional article and couldn't work out why my client kept getting a 404. If you need to stay reachable to peers mid-migration, serve the same card at both paths and retire the old one once they've moved.

{
  "name": "DataAnalysisAgent",
  "description": "Analyzes CSV data and produces insights and charts",
  "url": "https://data-agent.example.com",
  "version": "1.0.0",
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "stateTransitionHistory": true
  },
  "authentication": {
    "schemes": ["Bearer"]
  },
  "skills": [
    {
      "id": "analyze-csv",
      "name": "CSV Analysis",
      "description": "Accepts a CSV file and returns statistical analysis with visualizations",
      "tags": ["data", "csv", "analysis"],
      "inputModes": ["text", "file"],
      "outputModes": ["text", "file", "data"]
    }
  ]
}

Task

A Task is the unit of work exchanged between agents. Each task has a unique ID and follows a lifecycle: submitted → working → completed (or failed). Tasks carry Messages (the conversation history) and Artifacts (the outputs).

Artifact

An Artifact is the deliverable produced by a task. It can contain multiple parts — text, files, or structured data — and can be streamed incrementally as the agent works.

Push Notifications

For long-running tasks, agents can notify clients via webhook when work is complete. This lets clients avoid holding open a persistent connection, making it ideal for batch workloads.


✦

Thank you for reading this far.

Continue Reading

What follows includes implementation code, benchmarks, and practical content we hope you'll find useful. This site runs without ads — server and development costs are supported entirely by members like you. If it's been helpful, we'd be truly grateful for your support.

WHAT YOU'LL LEARN
✦Connect every stage of an A2A build — Agent Card design, auth, registry-based discovery, and production deploy — under one coherent design philosophy
✦See measured numbers for how ETag revalidation and in-process caching differ, so you know which one to reach for first
✦Understand what v1.0 renamed and restructured, and the order to migrate an existing implementation without breaking it
Secure payment via Stripe · Cancel anytime
✦

Unlock This Article

Get full access to the rest of this article. Buy once, read anytime. This site is ad-free — your support goes directly toward keeping it running.

or
Unlock all articles with Membership →
Share

Thank You for Reading

Antigravity Lab is ad-free, supported entirely by members like you. We publish practical guides daily with implementation code, benchmarks, and production-ready patterns. If you've found it useful, we'd love to have you on board.

  • ✦Copy-paste ready implementation code
  • ✦New advanced guides published daily
  • ✦$5/mo or $15 for lifetime access
View Membership →

Related Articles

◈ Agents & Manager2026-09-08
Before I accept what /boost says it verified, I count what its throwaway worktree never saw
Antigravity's /boost runs its tests inside an ephemeral isolated worktree. If your build reaches for files git never tracked, that verification passed on a different tree than yours. Here is how I measure the gap first.
◈ Agents & Manager2026-09-06
With scheduled agents, I now look for runs that never happened before I look for failures
My run ledger showed a 100% success rate while the evening slot had not fired for two weeks. Here is the reconciliation I now run against an expected-fire table, with measured notes on cron expansion, exit codes, and how the ledger itself gets written.
◈ Agents & Manager2026-09-04
Snapshot Your Agents' Effective Scope So You Notice the Day a Default Changes
Antigravity 1.1.25 made Markdown-defined custom agents inherit the surrounding skills, rules, and subagents by default. Here is the snapshot-and-diff routine I now use to check whether an agent I meant to keep narrow quietly got wider after an update.
📚RECOMMENDED BOOKS
Build a Large Language Model (From Scratch)
Sebastian Raschka
LLM Dev
Prompt Engineering for LLMs
Berryman & Ziegler
Prompting
AI Engineering
Chip Huyen
AI Eng
* Contains affiliate links