MACE: Memory-Agent Co-Evolution with Adaptive Memory Graphs for Multi-Agent Systems
LLM-based multi-agent systems generate collaboration traces that record how agents plan tasks, verify intermediate results, and repair failures. Reusing these procedures requires preserving an action's prerequisites and the outputs needed by subsequent agents. Our empirical studies show that grouping these dependencies...
Kai-Rui Yang, Ming-Hao An, Xun-Kai Li et al.
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