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LSTMem: Hierarchical Long Short-Term Online Memory for Large Language Models
Large language models increasingly serve as long-horizon assistants and agents, where they must both accumulate information across interactions and make the relevant parts available when later requests depend on them. Existing compact online memories typically use a single persistent state both to a
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