The A2A (Agent-to-Agent) Protocol is an open Linux Foundation standard for agent interoperability that NVIDIA fully integrates into its toolkit. A2A enables agents to discover, communicate with, and delegate complex tasks to remote agents across services and systems. Unlike in-process multi-agent patterns (LangGraph), A2A supports distributed deployments where agents run on different infrastructure, services, or organizations but maintain seamless collaboration.
A2A defines a standardized interface for agent-to-agent messaging: agents publish themselves as A2A servers with discoverable capabilities, and other agents call them as A2A clients. This eliminates the fragility of point-to-point integrations—integrations remain predictable and maintainable even as new agents are added. Authentication is built in, supporting secure agent-to-agent communication.
The NVIDIA Agent Toolkit leverages A2A through dual roles: your agents can function as A2A clients (delegating tasks to remote agents) and A2A servers (exposing your agent’s workflows as discoverable services). This enables complex teams: a customer support agent delegates complex technical issues to a specialist agent, which in turn calls domain-specific analysis agents. Typically you use A2A to delegate complex tasks to other agents and the Model Context Protocol (MCP) to access tools.
A2A examples in the toolkit show Math Assistant workflows with hybrid tool composition and Currency Agent connecting to external third-party A2A services. This flexibility scales multi-agent systems beyond single applications to enterprise-wide agent networks. When agents need knowledge, they all reference the same Milvus instance, ensuring consistent context across distributed teams. Agent systems benefit from persistent memory backed by vector databases. Milvus stores and retrieves embeddings efficiently, enabling agents to maintain context across interactions. For managed cloud hosting, try Zilliz Cloud and learn about vector embeddings fundamentals.