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A2A Review

Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.

shipped Apr 17, 2026freemium
Domain rating76Monthly visits408/mo
A2A - AI tool for . Professional illustration showing core functionality and features.

Why it matters

1Initially launched by Google in April 2025 with over 50 technology partners.
2Now an open-source project under the Linux Foundation.
3Reached version 1.0, its first stable specification, by April 2026.
4Supported by over 150 organizations as of April 2026, with deep integration across Google, Microsoft, and AWS platforms.

Stork’s verdict on A2A

This open protocol enables secure, opaque communication for diverse AI agents, but demands significant integration effort.

A2A reviewed by Stork AI · stork.ai/en/a2a

About A2A

Business Model
Open Source

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is A2A?

A2A is an open protocol developed by Google (now open-source under the Linux Foundation) that enables AI Agent Developers and System Architects to facilitate communication and interoperability between opaque agentic applications. It acts as a universal communication standard, allowing AI agents to discover capabilities, exchange information, and coordinate actions across diverse platforms. The Agent2Agent (A2A) Protocol was officially launched by Google in April 2025 and subsequently donated to the Linux Foundation, becoming an open-source project. This protocol addresses the challenge of interoperability in multi-agent systems, where agents built by different teams or vendors need to work together to achieve complex goals. By April 2026, A2A had reached version 1.0, its first stable specification, marking it as a production-ready open standard. As of April 2026, over 150 organizations support the A2A standard, with active production deployments in various industries.

features

Key Features of A2A

The A2A Protocol provides a robust set of features designed to standardize and secure communication within multi-agent AI systems, enabling complex interactions and workflows.

  • Enabling communication and interoperability between opaque agentic applications.
  • Seamless communication and collaboration between AI agents, regardless of underlying frameworks or vendors.
  • Secure and opaque collaboration between agents without sharing internal logic or proprietary data.
  • Standardized communication and collaboration between AI agents through an open protocol.
  • Interoperability between AI agents built on different platforms and frameworks.
  • Facilitating complex workflows with sub-task delegation and action coordination among agents.
  • Supporting long-running tasks with real-time feedback and state updates.
  • Enabling agents to discover each other's capabilities dynamically.
  • Standardizing agent discovery, secure task delegation, and progress streaming (Version 0.3.0).
  • Support for structured outputs in agent communications.

use cases

Who Should Use A2A?

A2A is primarily designed for stakeholders involved in the development, architecture, and deployment of advanced AI agent systems that require robust interoperability and collaboration.

  • AI Agent Developers: For building robust multi-agent systems, ensuring interoperability across different frameworks, and enabling agents to delegate sub-tasks and coordinate actions.
  • AI Agent System Architects: For designing scalable, secure, and standardized multi-agent architectures that require seamless communication between diverse AI agents.
  • Businesses deploying multi-agent AI systems: To automate complex enterprise workflows (e.g., supply chain planning, loan processing), enhance customer experience, and reduce integration complexity across various applications and siloed data systems.
  • Organizations requiring secure and opaque collaboration: For scenarios where agents need to interact and exchange information without exposing internal logic or proprietary data.

pricing

A2A Pricing & Plans

A2A operates on a freemium model, with its core protocol being open-source under the Linux Foundation. This allows developers and organizations to implement and utilize the standard without direct licensing costs. Any associated costs would typically arise from the infrastructure required to host and operate agents that adhere to the A2A protocol, or from commercial services built on top of the open standard.

  • Open-source core: Free to implement and use the A2A protocol standard.
  • Commercial implementations: Pricing varies based on vendor-specific offerings and managed services, such as Google Cloud's Vertex AI Agent Engine integration, which provides a standardized, scalable, and managed solution for building multi-agent systems.

Similar Tools

A2A vs Competitors

A2A is positioned as a foundational communication protocol within the AI agent ecosystem, often complementing rather than directly competing with other tools and frameworks. Its primary focus is on standardizing agent-to-agent communication.

1
Agent Communication Protocol (ACP)↗

An open standard for agent-to-agent communication, designed for simplicity, flexibility, and vendor neutrality, with a focus on RESTful, HTTP-based interfaces.

Like A2A, ACP is an open standard for agent-to-agent communication under the Linux Foundation; however, ACP is merging its technology and expertise into A2A. It also uses HTTP and REST conventions, similar to A2A's foundation on HTTP and JSON-RPC.

2
Agent Network Protocol (ANP)↗

Aims to be 'the HTTP of the agentic web era' with a peer-to-peer architecture, using HTTP for data transport and JSON-LD for data formatting.

ANP is another open-source protocol for agent communication, similar to A2A in its goal of standardizing agent interaction, but it emphasizes a peer-to-peer architecture and JSON-LD for data formatting.

3
Agent ProtocolOn Stork

An open API specification that enables seamless communication with AI agents, regardless of framework, language, or platform, defined using OpenAPI.

Agent Protocol provides a universal API specification for agent communication, similar to A2A's goal of interoperability, but focuses on a REST API with core endpoints for task and step management.

4
AutoGenOn Stork

An open-source framework from Microsoft for building multi-agent AI applications, emphasizing conversational interactions and robust support for code generation and execution.

AutoGen is a comprehensive framework for building multi-agent systems, whereas A2A is a protocol for communication between agents; AutoGen provides the environment and tools to *create* agents that would then potentially use protocols like A2A for external communication. AutoGen handles orchestration and communication within its framework, offering a more complete solution for multi-agent development compared to A2A's protocol-level focus.

See every A2A alternative, compared→

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