Meta AI uses a second AI agent as a memory coach to keep long tasks on track
By Jonathan Kemper
Meta AI researchers designed a multi-agent memory coach architecture where a dedicated secondary agent manages long-term task context and prevents the primary model from repeating past errors. The approach improved benchmark execution scores by up to 8.3 percentage points on multi-step tasks.