Managing conversational context in multi-agent AI systems (opens in new tab)

Multi-agent systems decompose complex AI workloads into specialized, independently deployed agents that mirror microservice architectures. A significant challenge in these systems is maintaining conversational context across agent boundaries when services share no underlying infrastructure. The Agent-to-Agent (A2A) protocol provides a standard for this communication, utilizing context identifiers and structured message parts to manage task continuity. <a href="