Agent2Agent Protocol: The HTTP of AI Agents

Hey chummers,

Google just launched Agent2Agent Protocol (A2A) - a standardized way for AI agents from different companies to communicate and collaborate.

Microsoft already adopted it. 50+ major companies are implementing it. This is the infrastructure layer for AI agent interoperability.

What A2A Actually Is

Agent2Agent is an open protocol for AI agent communication. Instead of building monolithic AI systems, companies build specialized agents that communicate through A2A.

Core components:

Client Agent: Sends tasks
Remote Agent: Executes tasks
Agent Cards: JSON capability advertisements
Task Objects: Structured requests with lifecycles

Built on HTTP, Server-Sent Events, and JSON-RPC. Full specification available on GitHub.

The Real-World Example

Google's hiring scenario: HR manager tasks their agent to find software engineer candidates. The agent coordinates with recruiting agents for sourcing, scheduling agents for interviews, and background check agents for verification. All automated across different companies' systems.

Each agent specializes in one function but they collaborate through A2A to handle complete workflows.

The Technology Architecture

Capability Discovery: Agents advertise capabilities through "Agent Cards." Your AI discovers available Salesforce CRM agents, MongoDB database agents, and PayPal payment agents.

Task Management: Communication organized around "tasks" with structured lifecycles. Supports quick responses and long-running projects with real-time status updates.

Modality Support: Handles text, audio, video, web forms, iframes - whatever format the task requires.

Security: Enterprise-grade authentication and authorization with audit trails across multi-agent workflows.

Industry Adoption

Technology partners: Salesforce, Microsoft, Atlassian, ServiceNow, UiPath, LangChain, MongoDB, PayPal.

Enterprise services: Deloitte, Accenture, KPMG, PwC.

When Microsoft immediately adopts Google's open protocol, it signals this is becoming the standard.

Why This Matters

End of AI vendor lock-in: Before A2A, choose one AI stack. After A2A, use best-of-breed agents from multiple vendors working together.

Agent specialization: Companies build agents that excel at specific tasks. Cohere builds secure enterprise AI, Neo4j builds graph knowledge agents, Datadog builds monitoring agents.

True automation: Moving from "AI assists with tasks" to "AI orchestrates complete business processes across multiple systems."

Economic Impact

Market transformation: A2A creates infrastructure for an AI agent economy. Companies focus on domain expertise and integrate through standardized protocols.

Intuit states: "A2A will enable complex agent workflows, accelerate partner integrations, and move the industry forward."

SAP notes A2A helps "unlock the full potential of end-to-end business processes."

Cost reduction: Leverage specialized agents from domain experts rather than building everything in-house.

Bottom Line

Google created the HTTP of AI agents. 50+ companies are implementing it. Microsoft already adopted it. Protocol is open source and ready for implementation.

This moves us from isolated AI systems to an interconnected ecosystem of specialized agents that discover, communicate, and collaborate across vendors.

Companies that implement A2A early get access to the largest ecosystem of AI capabilities. Those that don't will build isolated systems in an increasingly connected world.

The agent internet is here.checkCompletion()

Walk safe,

-T

Sources & Technical Documentation:

Agent2Agent Protocol

Agent2Agent Protocol

Agent2Agent Protocol: The HTTP of AI Agents

What A2A Actually Is

The Real-World Example

The Technology Architecture

Industry Adoption

Why This Matters

Economic Impact

Bottom Line

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