Executive Memory for LLM: Revolutionizing Long-Horizon Reasoning in AI Agents

MemoBrain: The Executive Memory Brain for LLM Reasoning In the complex reasoning scenarios of tool-augmented agents, the continuous accumulation of long-horizon reasoning trajectories and temporary tool interaction results is constantly occupying the limited working context space of large language models (LLMs). Without the support of a dedicated memory mechanism, this undifferentiated information accumulation can disrupt the logical continuity of reasoning and cause the agent to deviate from task objectives—turning memory management from a mere efficiency optimization issue into a core link supporting long-horizon, goal-directed reasoning. MemoBrain is precisely an executive memory model designed to address this problem. It constructs a …