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Stanford researchers released Memorilla, an open-source memory system for LLMs that reads whole document collections and hands frozen models just 16 memory tokens. On FactKG, a frozen Qwen3-8B scored 84.33% with Memorilla against 80.43% with every document in context, achieving this with 108x fewer document tokens. The code, training recipes and checkpoints are public under Apache 2.0.
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