Google Agent2Agent Protocol (A2A)

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A Google Agent2Agent Protocol (A2A) is a AI agent communication protocol that enables AI agents to communicate with each other regardless of which organization created them or what underlying technology they use.

AKA: A2A Protocol, Google A2A, Agent-to-Agent Protocol, Cross-Vendor Agent Protocol, Agent Interoperability Protocol.
Context:
- It can typically enable Agent2Agent Communication through standardized message exchanges.
- It can typically support Agent2Agent Task Coordination through agent2agent task state management.
- It can typically facilitate Agent2Agent Information Exchange through agent2agent message formats.
- It can typically maintain Agent2Agent Security through enterprise-grade authentication and agent2agent authorization.
- It can typically handle Agent2Agent Capability Discovery through agent2agent metadata cards.
- It can typically provide Agent2Agent Discovery Mechanisms through agent2agent card API endpoints.
- It can typically implement Agent2Agent Task Submission using agent2agent HTTP protocols.
- It can typically support Agent2Agent Task Status Updates through agent2agent server-sent events.
- It can typically ensure Agent2Agent Message Transport Security through agent2agent TLS encryption.
- It can typically include Agent2Agent HTTP APIs with agent2agent standard endpoints for cross-vendor integration.
- It can typically enable Agent2Agent Modality Negotiation for agent2agent interaction format selection.
- It can typically facilitate Agent2Agent Artifact Exchange through agent2agent standardized content types.
- It can typically manage Agent2Agent Synchronous Communication through agent2agent request-response patterns.
- It can typically establish Agent2Agent Open Standards for multi-vendor agent ecosystem integration.
- It can typically support Agent2Agent Task Cancellation through agent2agent cancellation endpoints.
- ...
- It can often provide Agent2Agent Interoperability through agent2agent protocol implementations.
- It can often implement Agent2Agent Task Processing through agent2agent task lifecycle management.
- It can often support Agent2Agent Long-Running Operations through agent2agent asynchronous processing.
- It can often facilitate Agent2Agent User Experience Negotiation through agent2agent content format specifications.
- It can often enable Agent2Agent Streaming Responses through agent2agent server-sent event mechanisms.
- It can often support Agent2Agent Task Progress Reporting through agent2agent progress notifications.
- It can often maintain Agent2Agent Version Compatibility across agent2agent protocol evolution.
- It can often provide Agent2Agent Error Handling through agent2agent standardized error formats.
- It can often implement Agent2Agent Rate Limiting for agent2agent resource management.
- It can often include Agent2Agent Authentication Tokens for agent2agent secure message exchange.
- It can often support Agent2Agent Delegated Tasks where one agent requests another to perform a specific subtask.
- It can often enable Agent2Agent Message Tracing for agent2agent communication debugging.
- It can often manage Agent2Agent Conversation Context across multi-turn agent2agent interactions.
- It can often facilitate Agent2Agent Capability Filtering based on agent2agent published functionality.
- It can often provide Agent2Agent CORS Support for cross-origin agent2agent browser integration.
- ...
- It can range from being a Simple Agent2Agent Protocol to being a Complex Agent2Agent Protocol, depending on its agent2agent capability scope.
- It can range from being a Specialized Agent2Agent Protocol to being a General-Purpose Agent2Agent Protocol, depending on its agent2agent application domain.
- It can range from being a Synchronous Agent2Agent Protocol to being an Asynchronous Agent2Agent Protocol, depending on its agent2agent communication timing.
- It can range from being a Text-Only Agent2Agent Protocol to being a Multimodal Agent2Agent Protocol, depending on its agent2agent content type support.
- It can range from being a Single-Task Agent2Agent Protocol to being a Multi-Task Agent2Agent Protocol, depending on its agent2agent task complexity.
- It can range from being a Basic Agent2Agent Protocol to being an Extended Agent2Agent Protocol, depending on its agent2agent feature implementation.
- It can range from being a Lightweight Agent2Agent Protocol to being a Full-Featured Agent2Agent Protocol, depending on its agent2agent implementation overhead.
- ...
- It can have Agent2Agent Protocol Components including agent2agent servers, agent2agent clients, agent2agent cards, and agent2agent tasks.
- It can integrate with Existing Communication Standards like HTTP protocols, SSE protocols, and JSON-RPC protocols for agent2agent infrastructure compatibility.
- It can complement Model Context Protocol for agent2agent ecosystem integration.
- It can connect with External Authentication Systems for agent2agent identity verification.
- It can support Web Platform Integration through agent2agent RESTful endpoints.
- It can interface with Cloud Service Provider through agent2agent cloud deployment options.
- It can work alongside Function Calling Interfaces for agent2agent tool integration.
- It can integrate with Enterprise Identity Management through agent2agent OAuth support.
- It can enable Third-Party Agent Registry for agent2agent discovery services.
- ...
Examples:
Counter-Examples:
- Model Context Protocol, which focuses on model-tool interaction rather than agent2agent communication.
- Traditional API Protocol, which lacks agent2agent capability discovery and agent2agent task state management.
- Agent-Client Protocol, which connects agent to user client rather than agent2agent coordination.
- Internal Agent Communication Framework, which operates within a single vendor environment rather than across multi-vendor agent ecosystems.
- Function Calling API, which enables agent-tool interaction rather than agent2agent communication.
- Web Service API, which lacks agent card metadata and agent2agent discovery mechanisms.
- FIPA Agent Communication Language, which predates modern AI agent communication needs and lacks multimodal content support.
- Standard HTTP API, which doesn't include agent-specific semantics and agent card discovery.
- Webhook System, which implements push notification rather than bidirectional agent2agent communication.
- Message Queue Protocol, which focuses on message delivery without agent capability advertising.
See: Communication Protocol, AI Agent, Protocol Standard, Enterprise Agent Ecosystem, Agent Interoperability Framework, Cross-Vendor Agent Communication, Agent Discovery Mechanism, Agent Metadata Format, Agent Capability Advertisement, Multi-Agent System, Task State Management, Agent Protocol Security, Modality Negotiation Protocol, Server-Sent Events, RESTful API Standard, JSON Schema Definition, OpenAPI Specification, Agent Authentication Framework, Cross-Origin Resource Sharing, Asynchronous Communication Pattern.

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