Meta Proposes Active Memory to Fix Long-Horizon Agent Decay

Meta's new MRAgent framework tackles behavioral state decay in long-horizon LLM agents by treating memory as an active intervention rather than passive retrieval. It combines associative memory graphs with active reconstruction to improve task performance and reduce costs.

2026-07-10 ~ 2026-07-11 · 4 related posts

• Meta Proposes Active Memory Mechanism for Agents — omarsar0 · 2026-07-10
• MRAgent Framework Optimizes Long-Horizon Tasks via Memory Graphs — burkov · 2026-07-11
• Proactive Memory Agent Tackles State Decay in Long Tasks — metaresearch · 2026-07-11

1 near-duplicate retellings: Md. Shakhoyat Rahman Shujon