AITowards Data Scienceabout 2 hours ago
Usage-Reinforced Decay Engine for AI Memory
1 min read
A developer built a usage-reinforced memory decay engine for AI agents that scores retention using the Ebbinghaus forgetting curve. Across 50 seeded sessions, it achieved 100% foundational recall versus 0% for recency-only baselines. The system is deterministic and zero-dependency, but fails when facts are introduced once and never recalled.
Level
Hype check
Tap to vote and see what everyone thinks.
In this storyMicrosoft
Summary by ByteBrief
