by VEKTOR Memory — 10 min read
Found this whitepaper digging through ArXiv today; there are so many great papers and so little time in the day to read them all.
A researcher at Microsoft published a paper in May 2026 measuring how well AI agents can continue tasks after their memory has been transferred to a different model.
The Transfer Continuity Score they reported was 0.88, tested on GPT-4 Turbo across 50 engineering scenarios. We ran the same benchmark against VEKTOR Slipstream and scored 0.894. This article explains the methodology, the honest caveats, what we updated and built into Vex as a result, and why the lift ratio matters more than the headline number.
Why agent memory migration is disparate
