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3 results for “structured memory”
Meta AI uses a second AI agent as a memory coach to keep long tasks on track
Meta AI introduced a dual-agent architecture where a secondary 'memory coach' agent monitors and selectively reminds a primary AI agent of past errors to reduce repetition in long-horizon tasks, improving benchmark performance by up to 8.3 percentage points.
Aug 3, 2026
SF-AMS: Strategic Forgetting for Structured Memory in LLM Agent
A new memory management framework called SF-AMS introduces utility-driven 'strategic forgetting' to improve long-context reasoning in LLM agents by dynamically prioritizing stable, entity-consistent information and filtering noise.
Jul 28, 2026
AI agents win at Slay the Spire 2 after researchers replace growing chat logs with structured memory
Researchers improved AI agent performance in Slay the Spire 2 by replacing unstructured chat logs with five-layer structured memory, reducing prompt size from >500K to ~5K tokens and achieving a 60% win rate where prior agents won zero games.
Jul 12, 2026