HABIT-Bench introduces a framework to evaluate how LLM agents infer and apply implicit user habits from longitudinal, weak evidence across hundreds of sessions. The benchmark uses synthetic histories in finance, travel, and software to test habit induction accuracy.
HOW THIS AFFECTS YOU
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builderYou can use this to benchmark how well your agent's memory system handles long-term user personalization.
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researcherThis provides a standardized way to measure the gap between raw interaction storage and actual habit induction.