SOURCE-LINKED INTELLIGENCE

Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents

arXiv · AI, language, vision and robotics · article · Sep 23, 2026 · UTC

Agentic memory systems reuse past experience to improve future performance, yet most existing designs curate memory at write time: once a task is completed, its trajectory is distilled into a fixed artifact, such as a reflection, workflow, skill, or reasoning strategy, that is later retrieved by similarity. This forces the system to decide what is worth remembering before the future query is known, irreversibly discarding information and producing a query-independent summary that must serve many possible downstream tasks. Learning such a write-time curator is also difficult because the value o

Read original source ↗ Open in workspace

recordType

paper

region

Global