Deprecated
This version of the A2A Protocol is out of date, please refer to the most recent documentation at https://a2a-protocol.org/latest/.
Agent2Agent (A2A) Protocol¶
Unlock Collaborative Agent Scenarios¶
The Agent2Agent (A2A) Protocol is an open standard designed to enable seamless communication and collaboration between AI agents. In a world where agents are built using diverse frameworks and by different vendors, A2A provides a common language, breaking down silos and fostering interoperability.
Why A2A Matters¶
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Interoperability
Connect agents built on different platforms (LangGraph, CrewAI, Semantic Kernel, custom solutions) to create powerful, composite AI systems.
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Complex Workflows
Enable agents to delegate sub-tasks, exchange information, and coordinate actions to solve complex problems that a single agent cannot.
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Secure & Opaque
Agents interact without needing to share internal memory, tools, or proprietary logic, ensuring security and preserving intellectual property.
A2A and MCP: Complementary Protocols¶
A2A and the Model Context Protocol (MCP) are complementary standards for building robust agentic applications:
- MCP (Model Context Protocol): Connects agents to tools, APIs, and resources with structured inputs/outputs. Think of it as the way agents access their capabilities.
- A2A (Agent2Agent Protocol): Facilitates dynamic, multimodal communication between different agents as peers. It's how agents collaborate, delegate, and manage shared tasks.
Get Started with A2A¶
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Read the Introduction
Understand the core ideas behind A2A.
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Dive into the Specification
Explore the detailed technical definition of the A2A protocol.
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Follow the Tutorials
Build your first A2A-compliant agent with our step-by-step Python quickstart.
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Explore Code Samples
See A2A in action with sample clients, servers, and agent framework integrations.