Managing conversational context in multi-agent AI systems

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...

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