Agent-to-Agent (A2A) Protocol
An open protocol that enables AI agents to securely communicate, exchange information, and coordinate actions across different platforms and applications.
What is the A2A Protocol?
The Agent-to-Agent (A2A) Protocol is an open standard that enables seamless communication between AI agents across different platforms and applications.
This protocol allows autonomous AI agents to:
- Securely exchange information
- Coordinate actions and workflows
- Discover and leverage each other's capabilities
- Collaborate on complex tasks
Key Design Principles
Universal Compatibility
Enterprise Security
Asynchronous Tasks
Built on open standards like HTTP, SSE, and JSON-RPC for maximum interoperability and security.
Protocol Features
A2A provides a rich set of features for creating interacting agents
Capability Discovery
Agents advertise their capabilities using "Agent Cards" in JSON format, enabling intelligent task delegation and collaboration.
Task Management
Structured task objects with defined lifecycles enable efficient coordination and tracking of agent activities.
Rich Messaging
Support for various content types including text, audio, video, forms, and structured data exchange between agents.
Enterprise Security
Built-in support for enterprise authentication and authorization, with parity to OpenAPI authentication schemes.
Asynchronous Tasks
Support for both quick tasks and long-running processes with real-time feedback and progress updates.
Open Community
Supported by over 50 technology partners including Atlassian, SAP, and Salesforce.
Use Cases
Explore how A2A Protocol enables innovative agent interactions
Job Candidate Search
HR agents can collaborate with specialized sourcing agents to find and evaluate candidates across multiple platforms.
Movie Recommendation
Entertainment agents can work with review agents to provide personalized movie recommendations based on user preferences.
Code Generation
Developer agents can collaborate with specialized coding agents to generate, review, and optimize code across different programming languages.
Framework Integrations
A2A Protocol works seamlessly with popular agent frameworks
Google ADK
LangGraph
CrewAI
Genkit
Figure 1: AI to Agent Interaction Flow
Natural Language Understanding
Convert human language into structured commands that agents can understand and process.
Decision Making
AI analyzes the request and determines the best course of action using advanced algorithms.
Agent Execution
Autonomous agents carry out tasks based on the AI's instructions and learn from the outcomes.