Interoperability

A2A vs MCP: AI Agent Communication Explained

A2A vs MCP: AI Agent Communication Explained

Discover how A2A (Agent2Agent) and MCP (Model Context Protocol) solve critical challenges in AI agent ecosystems. A2A enables seamless communication and collaboration between diverse AI agents, while MCP standardizes an agent's access to external tools and data, fostering robust and interoperable AI workflows.

941: Multi-Agent Human Societies — with Dr. Vijoy Pandey

941: Multi-Agent Human Societies — with Dr. Vijoy Pandey

Dr. Vijoy Pandey of Cisco's Outshift incubator discusses his vision for a future where multi-agent human societies collaborate to solve major scientific and physical challenges. He introduces AGNTCY, an open-source project for the "Internet of Agents," designed to address the critical hurdles of agent interoperability and trust through a Zero Trust framework and Task-Based Access Control (T-BACK).