SkillGLoW: Agent Memory Shrinks 3.6x While Scores Rise 17.2 Points

A new arXiv paper, SkillGLoW, proposes that self-improving agents store reusable solution methods rather than individual tasks, boosting scores by 17.2 points while compressing the skill memory library 3.6x on long-horizon heterogeneous tasks.

2026-09-06 ~ 2026-09-06 · 2 related posts

• SkillGLoW: agents that remember procedures, not tasks, gain 17.2 points with 3.6x smaller memory — rohanpaul_ai · 2026-09-06
• SkillGLoW: Storing shared solving procedures beats per-task skill pools, +17.2 points with 3.6x smaller library — rohanpaul_ai · 2026-09-06