SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents
arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills. However, scaling skill libraries makes efficient and accurate skill use difficult. Full skill loading incurs high token and runtime overhead. In contrast, flat semantic retrieval treats skills as…
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- 2026-10-21 04:00 · arXiv cs.AI
SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents