Protocols-A2A

A2A Protocol is like a universal language that lets AI agents talk to each other, no matter what company or technology created them.
Think of it like email - Gmail users can email Yahoo users because they follow the same email protocol. Similarly, A2A lets AI agents from different systems work together by following common rules for communication. It's designed to help AI agents team up and solve problems together, even if they were built by different companies using different technologies.

But we have seen multi agent architecture on bedrock , so what is different here ?
I understand this  like local method calls vs remote call ( REST API) , lets elaborate on this further to understand . An organization has a lot of private apis services which are used in combination to deliver some outcome , these are private apis or local to organization that share same knowledgebase or cache etc.  and the same organization also needs to reachout to third party apis along with internal apis. 
next is the technical aspect of how its orchestrated that is simlar to likes of SOA vs Microservices as listed below 

Bedrock Multi-Agent ≈ likes of SOA:

• Centralized orchestration (like ESB)

• Managed communication

• Predefined workflows

• Tighter coupling

• Platform dependent

• Standardized by vendor (AWS)

A2A Protocol ≈  likes of Microservices:

• Decentralized

• Direct communication

• Independent agents

• Loose coupling

• Platform agnostic

• More flexibility

Comparison:

SOA/Bedrock:

Services/Agents → Enterprise Service Bus/Bedrock Orchestrator → Services/Agents

Microservices/A2A:

Agent ←→ Agent ←→ Agent   (Direct communication like microservices)

Key Parallels:

• Central Control vs Autonomy

• Platform Lock-in vs Independence

• Managed vs Flexible

• Easier Setup vs More Freedom

Is Memory Shared in A2A Comms?

Consider a scenario where Agent 1 is in AWS using Strand using Agent Core memory talking to Agent 2 on GCP using its own meory implementation .
Here's how that interaction works:

Agent 2: "Tell me customer's previous issues"
↓
Agent 1: [Checks Agent Core Memory]
↓
Searches memory namespaces, Finds relevant information
↓
Agent 1: "Customer had database crash last week"

Real Example:
Agent 2: "What's user's preferred contact method?"
↓
Agent 1:
- Checks USER_PREFERENCE strategy

- Reads from memory: support/customer/123/preferences

- Responds: "Email only, during 9-5 EST"

How to Choose Bedrock vs A2A

Its not on vs other , it would ideally be a combination of both based on factors below 

Bedrock: Better if staying within AWS using internal agents and servcies 

A2A: Better for cross-platform, independent systems

Bedrock: Easier management

A2A: More flexibility but more complex to implement