Multi-agent systems scale by distributing specialized tasks across independent, autonomous nodes rather than relying on one massive language model. This modular division reduces the processing burden on individual prompts and keeps context windows clean. To understand how do multi-agent systems scale, developers must look at workload parallelization. Instead of running tasks sequentially, a distributed architecture…