AI Agents : Discovery, Identity and Communication

In today's rapidly evolving technological landscape, Large Language Models (LLMs) are leading to the widespread deployment of LLM agents across diverse industries, fundamentally transforming our daily work and life. However, as more of these intelligent agents are deployed, a critical challenge has emerged: the absence of standardized protocols for them to communicate seamlessly with external tools, data sources, or even with each other. This deficiency creates significant fragmentation within the LLM ecosystem, hindering interoperability, limiting scalability, and ultimately restricting their ability to tackle complex, real-world problems effectively. Drawing a parallel to the early Internet, where fragmented systems limited connectivity until unified protocols like TCP/IP and HTTP unleashed an era of global innovation, we are at a similar pivotal moment for AI agents. A unified communication standard for LLM agents could unlock a new era of distributed, collaborative intelligence, allowing agents and tools to interact more smoothly and enabling emergent collective intelligence. Krishnan will be presenting this topic on June 23rd, as he will delve into the first comprehensive analysis of these critical AI agent protocols, providing a clear classification framework and insights into their performance and future evolution, serving as a practical reference for anyone involved in this transformative field.