This podcast explore the growing field of AI agent communication and the critical need for standardized protocols to enable effective collaboration between different agents. They discuss how agents traditionally worked in isolation, requiring custom connections, and highlight the benefits of protocols like A2A (Agent-to-Agent) and ACLs (Agent Communication Languages) for interoperability and building complex multi-agent systems. A key theme is the significant security implications and challenges in multi-agent environments, including protecting agents from malicious hosts and other agents, and introducing a framework for secure tool and agent management through registration and access control. The sources also touch on the scalability of these systems and the impact of security features, like cryptography, on performance.