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RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents
Long-running LLM agents require memory that persists and evolves across sessions. Text-based memory retrieves and reconstructs past interactions at every query, making long-horizon performance increasingly dependent on retrieval quality and contextual reasoning as histories grow. Parametric memory e
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