Princeton's Recuris Boosts Long-Horizon Agent Success via Recursive Memory

Princeton introduced Recuris, a recursive experiential memory architecture for long-horizon agents. It splits memory into working and experiential components, converts failed runs into skill memories via a Meta-Agent, and uses validated updates to markedly improve task success rates.

2026-08-26 ~ 2026-08-27 · 2 related posts