A2A Protocol 1.0 — The Standard for Inter-AI Agent Collaboration

While MCP has gained significant attention for enabling AI to use external tools, there hasn't been a proper standard for different AI agents to communicate and collaborate with each other. To solve this, Google and IBM have joined forces.

By merging their technologies, the Linux Foundation’s Agent-to-Agent (A2A) Protocol v1.0 was born. An exciting ecosystem is now emerging where AI agents can communicate and collaborate directly, regardless of their underlying development frameworks.

Why Should We Pay Attention to the A2A Protocol?

Until now, the AI agent ecosystem has been fragmented, much like tribes speaking different languages. To make agents built on different frameworks—like CrewAI, LangChain, or Mastra—collaborate, developers had to manually build complex custom integration pipelines every time.

The A2A Protocol v1.0, officially released by the Linux Foundation, was created to bridge this fragmentation. With IBM's agent communication standard merging into the Google-led A2A, the industry finally has a single gateway for universal communication.

Now, even with completely different development frameworks, agents can discover and collaborate with each other as long as they support the A2A standard. It is also worth noting that global companies such as Google, Microsoft, AWS, and Salesforce are participating in the Technical Steering Committee to drive this standard forward.

How A2A Works — 5 Core Data Models

The secret to how the A2A protocol orchestrates complex AI collaboration is surprisingly simple. It organizes how agents work and communicate into five standard data models that closely mirror real-world business interactions.

First, there is the Agent Card, a business card containing the agent's capabilities and authentication information. Published at the agreed-upon path .well-known/agent.json, this card clearly demonstrates what tasks the agent can handle. Along with this, the overall collaboration flow is completed by Tasks (work orders), Messages for real-time communication, Parts (containers for data like images or files), and Artifacts which serve as delivery notes to securely transfer final outputs.

Thanks to these specifications, agents built on different frameworks can collaborate without issues. Even without knowing how the other's internal code is structured, they can establish a reliable partnership by checking Agent Cards and transmitting Tasks.

Internet-Scale Expansion — The Rise of IETF AIPF

If the A2A protocol defines the business contracts and rules between agents, the IETF, which creates the fundamental rules of the internet, has begun laying the underlying global road network. This is the AIPF (AI Agent Interoperable Protocol Framework) draft proposed in July 2026.

AIPF addresses standards at the network infrastructure level, where agents actually exchange data. It maintains seamless communication sessions between agents even if the internet connection becomes unstable and ensures security so that data is not tampered with when complex tasks are performed across multiple agents.

In short, A2A is the set of business rules where agents agree, "Let's collaborate this way," while AIPF is the infrastructure layer that ensures that agreement is safely delivered across borders and communication networks. With these two standards combined, a foundation has finally been laid for AI agents around the world to operate closely as one massive network.

An Era Where Agents Assign Work to Other Agents

We have moved past the stage of just being satisfied with building a single smart AI agent. Moving forward, it will become natural for agents with specialized expertise to exchange cards and collaborate over the network.

If you are developing your own agents, it is advisable to design your systems to flexibly support these global communication standards. Now is the time to keep an eye on how the Linux Foundation’s A2A protocol and the IETF’s AIPF proposal integrate with major development frameworks.

As the communication barrier between agents crumbles, which specialized agents are you most excited to connect first? Take a quick look at the official GitHub or documentation to get a step ahead in preparing for the future.