Parallel agents are autonomous AI systems that operate simultaneously to solve complex tasks faster than a single agent. They divide workflows across specialized sub-agents—each handling distinct functions like data retrieval, analysis, or action—boosting efficiency in automation, customer support, and research. Developers, data scientists, and enterprises benefit from reduced latency, scalable coordination, and streamlined multi-step processes.
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