Formalization of procedural memory enhances LLM agents' efficiency in task handling, suggesting improved functionality.
Persistent LLM agents currently possess episodic and semantic memory, but lack procedural memory—know-how, internalized procedures. A human who has resolved ten DNS failures has internalized a diagnostic procedure; an LLM agent has ten separate memories it must rediscover each session. We formalize procedural memory as consolidated action patterns automatically extracted from repeated experiences, and propose a concrete architecture with extraction, storage, and incremental refinement. Also available in French: Mémoire procédurale pour agents LLM persistants : le savoir-faire comme composant manquant
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Cros et al. (2026) studied this question.
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