New Approach to Agent Long-Term Memory
omarsar0 · x · 2026-07-08
This paper explores long-term memory mechanisms for agents, shifting from passively feeding retrieved materials to the model towards creating a structured space that agents can actively select and manipulate.
The authors propose a multi-granularity memory pyramid to organize user history—including raw conversations, memory logs, thematic trajectories, and user profiles—linked by source relationships and exposed to the agent as usable tools.
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