The landscape of autonomous large language model (LLM) agents is rapidly evolving, with a growing consensus that the true differentiator lies not in the underlying model, but in the sophistication of their memory architecture. This realization comes as practitioners grapple with the complexities of coordinating distributed multi-agent systems, a challenge highlighted by ongoing development in […]