Agent2Agent

Assess

Platforms

A protocol for agents to communicate with and call other agents.

Why it's here

Placed in Assess: 3 article(s) of evidence from 2 source(s), led by framework updates, with 1 in the last 30 days. Confidence 48%.

5InfoQ·9/23/2026framework_update
Morgan Stanley modernizes APIs for AI agents with MCP and A2A
Jim Gough and Andreea Niculcea describe how Morgan Stanley is using Architecture as Code with CALM to update its API program for agentic systems. The approach adds Model Context Protocol (MCP), Agent-to-Agent (A2A) communication, automated governance gates, and zero-downtime upgrades to support enterprise AI at scale.
7InfoQ·7/23/2026research
Multi-Agent AI Improves Security Operations in 5G Core
The article describes a multi-agent AI system used in production security operations for a 5G core environment. It reports a 40% reduction in mean time to detect and respond, along with a 12x reduction in human effort for detection engineering and rule maintenance.
6Hugging Face Blog·6/17/2026framework_update
Hugging Face Introduces Agentic Resource Discovery
Hugging Face describes Agentic Resource Discovery (ARD), a draft open specification for cataloging and searching tools, skills, and agents across federated registries. It positions ARD as a discovery layer in front of MCP, Skills, and A2A, and says its Hugging Face Discover Tool is a reference implementation for searching Spaces, MCP servers, and agent skills at runtime.