Problem solved

Agentic applications are often designed as opaque silos, making it difficult to integrate them into larger workflows or enable collaboration between agents from different sources. A2A addresses this fragmentation by providing an open protocol that standardizes agent-to-agent communication, allowing heterogeneous agents to interoperate without requiring custom adapters or deep integration.

Use cases

• Building multi-agent systems with heterogeneous agents
• Enabling cross-vendor agent collaboration
• Creating agent marketplaces where agents can discover and invoke each other
• Integrating legacy agent systems into modern AI workflows
• Facilitating agent-to-agent task delegation and coordination
• Standardizing communication for enterprise AI platforms

Audience

• Developers
• ML Engineers
• Data Scientists
• Enterprise

Pros

• Open standard promotes interoperability
• Reduces integration effort for multi-agent systems
• Vendor-neutral and platform-agnostic
• Enables discovery and capability advertisement
• Fosters a composable agent ecosystem

Cons

• Early-stage protocol with limited real-world adoption
• Requires agents to implement the protocol
• Specification may evolve, causing compatibility concerns
• Lacks built-in security and governance features