How Multi-Agent Systems Maintain Context Across Long-Running Tasks Long-running AI workflows can involve many steps, multiple agents, and large amounts of information. Without an effective way to preserve context, agents may lose track of previous actions, repeat work, or make decisions without important background information. Multi-agent systems address this challenge by using structured approaches to store, retrieve, and share relevant context throughout a...
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