A2A: Beyond the Hype

Much more than communication protocol A2A is semantic coordination layer between agents. It’s not about to pass messages just like packages — it’s about:

• Sharing context

• Negotiate tasks

• Distribute intentions

• Cooperate under shared objectives

What defines A2A as a context infrastructure?

Standardized format messages thanks to Protobuf messages are compact, clare, and semantically structured.

• Efficient: Smaller than XML and JSON

• Agnostic language: Usable across Python, C++, Java, etc.

• Contract first: .proto files define the structure and expectations — ensuring compatibility across versions.

• Native code: Ensures strong typing and reduces serialization friction. Generates code for each language, this helps to the compatibility between systems.

See the documentation link here

Shared Ontology Agents need to speak a common language. Shared definitions of concepts, actions and states should be integrate. A2A formalizes that shared cognitive base.

Error handling and fallback in this context an agent can say I can’t understand your intention or I don’t have the capabilities that you asked? or I need more context. This creates a resilient protocol for reasoning, not just messaging.

Distributed reasoning with this new layer we’re not just enabling agents to query data,we’re enabling them to collaborate in solving complex tasks, where each agent can:

• Propose ways

• Execute subtask

• Return results and hypothesis

Emergent Orchestration. With this new layer now we can get a collaborative network of agents were we can include emergent orchestration, now each task can be delegated with a two ways flow and all this can be scalable. MCP and A2A allow that now the agent not just thinks if not they can co-think, distributing the cognitive load and share responsibilities all this with clare rules , context and autonomous.

A2A gives birth to collaborative networks of agents where:

• Tasks are delegated

• Information flows bidirectionally

• Reasoning is shared and distributed

Combined with MCP, we now move from thinking agents to co-thinking agents —
able to distribute cognitive load, coordinate intentions, and act autonomously within a structured context.

Layer by layer, agent-based infrastructure (ABI) is coming alive. A2A is its neural wiring. MCP, its cognitive scaffold. This is not just AI. This is cognition, distributed.