Why AI Gets Dumber as It Learns: Inside VEKTOR's Memory Revolution

As AI agents accumulate memories over sessions, they face a counterintuitive problem: old information doesn't vanish but competes with new facts, degrading decision-making quality over time. VEKTOR's implementation of memory supersession—ensuring outdated information automatically gives way to new data—addresses a fundamental gap that affects every long-running agent system.