MRAgent Framework Optimizes Long-Horizon Tasks via Memory Graphs
burkov · x · 2026-07-11
This paper introduces the MRAgent framework, designed to enhance LLM agent performance on long-horizon tasks while reducing computational costs.
The core innovation lies in integrating an associative memory graph with an active reconstruction mechanism, allowing the agent to dynamically adjust memory access and retrieval strategies based on the current reasoning context.
Related event: Meta Proposes Active Memory to Fix Long-Horizon Agent Decay(4 posts)→
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