#A2A

Google's Agent-to-Agent (A2A) protocol enables autonomous agents to discover, authenticate, and collaborate with each other across organizational boundaries. These articles explore A2A implementation patterns, broker-based coordination, and how A2A complements MCP for inter-agent communication in production multi-agent systems. Topics include agent card discovery, task lifecycle management, and secure cross-platform agent orchestration. Each post includes working Go code examples demonstrating real-world A2A integration scenarios.

14 posts tagged with a2a. ← All posts

#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (311)#AI Architecture (10)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (201)#AI Evaluation (8)#AI Governance (29)#AI Red Teaming (9)#AI Research (9)#AI Safety (8)#AI Security (21)#AI in Production (12)#AML (3)#API Design (10)#API Security (8)#APIs (55)#AWS (17)#Accounting (9)#Agent Skills (3)#Agentic AI (24)#Agentic Commerce (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Analytics (3)#Architecture (36)#Audit (3)#Authentication (11)#Authorization (3)#Automation (6)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (310)#Benchmarks (3)#Best Practices (3)#BigQuery (6)#Business Finance (8)#Business Strategy (55)#C (8)#CI/CD (8)#Caching (10)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (24)#Checkpointing (4)#Claude Code (8)#Cloud (5)#Cloud Architecture (3)#Cloud Native (10)#Code Review (8)#Collaboration (5)#Communication (9)#Compliance (52)#Computer Networking (9)#Computer Science (32)#Computer Vision (5)#Concurrency (37)#Consulting (3)#Containers (10)#Context Engineering (10)#Cost Optimisation (5)#Credit (14)#Credit Risk (14)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Cryptography (8)#Custody (9)#DSPy (8)#Data (13)#Data Engineering (12)#Data Structures (9)#Databases (37)#Deployment (3)#Design Patterns (10)#DevOps (16)#DevSecOps (11)#Developer Experience (5)#Developer Tools (5)#Distributed Systems (94)#Documentation (3)#Edge AI (8)#Embeddings (15)#Emotional Intelligence (8)#Energy (8)#Engineering (11)#Engineering Culture (3)#Engineering Practices (16)#Error Handling (4)#Evaluation (53)#Event-Driven Architecture (8)#FREE-AI (8)#FX (5)#Feedback (4)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Systems (129)#Fine-Tuning (11)#Fintech (131)#Flutter (8)#Foreign Exchange (5)#Forward Deployed Engineer (8)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#Functional Programming (3)#Fundraising (8)#GCP (5)#Gemma (4)#Generative AI (3)#Git (8)#Go (220)#Go-to-Market (8)#Google ADK (36)#Governance (56)#Granite (6)#GraphQL (3)#Growth (3)#Guardrails (25)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hiring (8)#Hugging Face (8)#Human-in-the-Loop (8)#IBM watsonx (8)#Identity (11)#Integration (3)#Intellectual Property (8)#Interfaces (3)#JavaScript (8)#KYC (11)#KYC and AML (12)#Kafka (10)#Kubernetes (17)#LLM (5)#LLM Inference (8)#LLM-as-Judge (3)#LLMs (135)#LangChain (8)#LangGraph (11)#Leadership (26)#Ledger (12)#Legal (8)#Lending (14)#LlamaIndex (8)#MCP (22)#MLOps (31)#Machine Learning (32)#Marketing (16)#Markets (4)#Memory (15)#Memory Management (5)#Metrics (6)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Monitoring (3)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (73)#Multimodal (3)#Multimodal AI (8)#NIM (5)#NVIDIA (8)#OAuth (3)#OWASP (7)#Observability (44)#On-Device AI (8)#Open Source (7)#OpenTelemetry (5)#Operating Systems (8)#Operations (10)#Opinion (6)#Orchestration (10)#Organizational Design (8)#Payment Rails (16)#Payments (54)#People (8)#Performance (43)#Platform Engineering (9)#PreSales (8)#Privacy (5)#Privacy Engineering (3)#Process (4)#Product (27)#Product Management (8)#Production (8)#Programming (10)#Programming Languages (48)#Prompt Engineering (66)#Prompt Injection (6)#Protocol Buffers (3)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#RAG (58)#RBI (3)#REST (5)#Rails (16)#Reasoning Models (8)#Reconciliation (3)#RegTech (8)#Regulation (9)#Reliability (48)#Resilience (4)#Responsible AI (5)#Retrieval (3)#Risk (13)#Rust (32)#SRE (21)#Sales (9)#Scalability (3)#Security (81)#Security Engineering (8)#Self-Evolving Agents (16)#Sessions (3)#Settlement (9)#Soft Skills (8)#Software (3)#Software Architecture (36)#Software Engineering (144)#Spanner (4)#Startups (30)#Strands (8)#Streaming (28)#Structured Output (4)#Sustainability (8)#System Design (32)#Systems Programming (48)#Testing (49)#Tool Use (22)#Tooling (4)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (11)#TypeScript (8)#Vector Databases (21)#Vector Search (11)#Venture Capital (8)#Version Control (8)#Web Development (6)#Workflows (14)#gRPC (13)#smolagents (8)
Pratik Dhanave · ·5 min read

MCP vs A2A: Tools vs Agents

The most common question about the two big agent protocols is which one to use — and the answer is almost always "both," because they solve different problems: MCP connects an agent to its tools, A2A connects an agent to other agents.

The most common question about the two big agent protocols is which to use — and the answer is almost always both, because MCP connects an agent to its tools and A2A connects an agent to other agents.

#AI Architecture#MCP#A2A#AI Agents#AI Engineering#Software Architecture#LLMs
Pratik Dhanave · ·5 min read

A2A and MCP Together

The two protocols people keep pitting against each other are actually two halves of the same architecture — MCP gives an agent its tools, A2A gives it collaborators, and real systems need both.

MCP gives an agent its tools, A2A gives it collaborators, and real systems need both. How the two protocols compose — tools within an agent, agents between — in one architecture.

#A2A#MCP#AI Agents#Multi-Agent Systems#Protocols
Pratik Dhanave · ·5 min read

Streaming and Push Notifications

Long-running agent work needs a way to report progress without the client holding its breath, and A2A offers two: stream the updates live, or register a webhook and get called back.

Long-running agent work needs a way to report progress without the client holding its breath. A2A offers two: stream the updates live over SSE, or register a webhook and get called back.

#A2A#AI Agents#Streaming#APIs#Multi-Agent Systems#Protocols
Pratik Dhanave · ·5 min read

A2A Transports and Core Methods

A2A defines what agents exchange independently of how it travels, so the same operations work over JSON-RPC, gRPC, or plain REST — and the operation set is small enough to hold in your head.

A2A defines what agents exchange independently of how it travels, so the same operations work over JSON-RPC, gRPC, or plain REST — and the operation set is small enough to hold in your head.

#A2A#AI Agents#APIs#gRPC#Multi-Agent Systems#Protocols
Pratik Dhanave · ·4 min read

Messages, Parts, and Artifacts

Agents need to exchange more than plain strings — instructions, files, images, structured data, and finished deliverables — and A2A's content model handles all of it with three composable objects.

Agents exchange more than plain strings — instructions, files, images, structured data, and finished deliverables. A2A's content model handles all of it with three composable objects.

#A2A#AI Agents#Multi-Agent Systems#APIs#Protocols
Pratik Dhanave · ·5 min read

Tasks and the Task Lifecycle

Delegating real work between agents is rarely a quick round trip, so A2A makes the task a first-class object with an explicit lifecycle that survives long-running, interruptible, asynchronous collaboration.

Delegated work is rarely a quick round trip, so A2A makes the task a first-class object with an explicit lifecycle that survives long-running, interruptible, asynchronous collaboration.

#A2A#AI Agents#Multi-Agent Systems#Distributed Systems#Protocols
Pratik Dhanave · ·5 min read

Agent Cards and Discovery

Before one agent can delegate to another it has to find it and understand what it can do, and in A2A that self-description is a single structured document called the Agent Card.

Before one agent can delegate to another it must find it and understand it. In A2A that self-description is a single structured document — the Agent Card.

#A2A#AI Agents#Multi-Agent Systems#APIs#Protocols
Pratik Dhanave · ·5 min read

What Is the Agent2Agent Protocol?

Tools are one half of an agent's world and other agents are the other half, and A2A is the open standard that lets agents built by different teams, in different frameworks, discover and delegate to each other as peers.

A2A is the open standard that lets agents built by different teams, in different frameworks, discover and delegate to each other as peers — the agent-to-agent complement to MCP's agent-to-tools.

#A2A#AI Agents#Multi-Agent Systems#Protocols#MCP

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.