GlossaryAgentsIntermediate

A2A agents

Application-to-application agents are software components that enable different software programs to interact and complete tasks together.

In plain terms

Application-to-application agents, or A2A agents, are like digital assistants that help different software programs communicate and work together.

Imagine you have a sales app and a customer service app. An A2A agent could automatically take information from a new sale in the sales app and use it to create a new customer record in the service app, without anyone needing to manually copy and paste.

These agents are useful for automating workflows and making sure data flows smoothly between different systems.

The expert version

Application-to-application (A2A) agents are specialized software components designed to facilitate programmatic interaction and task execution between distinct software applications. They typically operate by interfacing with the APIs of the involved applications, translating requests and responses to ensure compatibility.

This enables automated data exchange, process orchestration, and complex workflows that span multiple systems. Tradeoffs include the complexity of integration, potential latency, and the need for robust error handling.

Why it matters now

Microsoft's mention of application-to-application (A2A) agents in the context of their Foundry platform suggests a growing focus on enabling seamless interaction between different software systems. This aligns with the broader trend of AI agents becoming more integrated into existing workflows and enterprise software, moving beyond standalone capabilities.

Where it shows up 1 items, newest first
How each company uses it
Microsoft Copilot
Microsoft is exploring application-to-application agents as part of its Foundry platform to standardize tool integration and governance for agent development.
Related terms

API agentsworkflow automationsoftware integrationagent orchestrationAI agentsmiddleware

Often confused with
Robotic Process Automation (RPA)
RPA typically automates user interface interac
Microservices
Microservices are architectural components that perform specific
Chatbots
Chatbots are designed for human-computer interaction, usually through
Origin

The concept of application-to-application interaction has existed for decades in software engineering, but the term 'A2A agents' specifically in the context of AI likely emerged as AI capabilities expanded to enable more sophisticated programmatic interactions beyond simple data transfer.

Try this about 5 minutes

You can explore A2A agent concepts by using Zapier or IFTTT. Connect two apps, like Google Sheets and Slack, and set up a rule: when a new row is added to your sheet, send a message to a Slack channel. This demonstrates how different applications can be made to interact automatically.

Try it: Playbook entries that use thisPlaybook →

The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.

Questions people ask

What is the main benefit of A2A agents?
A2A agents automate tasks and data flow between different software applications, saving time and reducing manual errors.
Are A2A agents the same as chatbots?
No, chatbots are for human interaction, while A2A agents are for software-to-software communication and task execution.

First seen on Subvolts Sep 10, 2026. Updated Sep 17, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.