Memory-on vs. memory-off: does agent memory actually change insurance recommendations?
poojithadolai · reddit · 2026-09-30
A developer shares Overturn, a small project testing whether agent memory changes decisions in insurance denial analysis. Workflow: new claim → retrieve relevant past cases → reason over evidence → generate recommendation → retain outcome.
The same claim is run in two settings: Memory OFF reasons only from the current claim and evidence; Memory ON additionally uses retrieved historical cases. Rather than checking retrieval success, the author compares recommendations across settings and explores how to evaluate whether historical context genuinely improves reasoning.
Questions for the community: how do you measure whether retrieved memories improve decision quality, do you run controlled memory-on/off experiments, and what metrics do you use for recommendation quality and consistency?
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