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MSCE: Turning Agent Memory into Callable Skills
The paper points out that most agent memory systems only save events and re-reason, leading to repeated errors. MSCE proposes organizing experiences into three layers: declarative facts, inductive strategies, and step trajectories, and promotes repeated patterns into callable programs (e.g., automatically executing a fix rule when pip installation fails). A strategy becomes a callable skill only when it has its own trigger conditions, boundaries, positive benefit estimates, and supporting evidence, without requiring additional fine-tuning.
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