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Shared memory coordinates agents'actions, but correct records do not establish that those actions satisfy task requirements. Memory governance and failure diagnosis regulate or inspect recorded information; they do not by themselves establish whether it is sufficient to judge task duties. We define execution consistenc...
Skill-MAS is proposed, a novel third path that decouples experience retention from parametric updates by conceptualizing the high-level orchestration capability as an evolvable Meta-Skill and is revealed to be highly robust and exhibit strong transferability across unseen tasks and different LLMs.
Adaptive Memory via Multi-Agent Collaboration (AMA), a novel framework that leverages coordinated agents to manage memory across multiple granularities, significantly outperforms state-of-the-art baselines while reducing token consumption by approximately 80% compared to full-context methods.
Unified-MAS is proposed that decouples granular node implementation from topological orchestration via offline node synthesis via offline node synthesis and is robustness across different designer LLMs and its effectiveness on conventional tasks such as mathematical reasoning.
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