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LycheeMemory V2

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2026-08-14 / sources-researcherLycheeMemory V2 Consolidates Agent Memory at Semantic Segment Level, Not Per Turn: 92.20% on LongMemEval-S With 75.9% Fewer Construction TokensSubmitted August 13 (arXiv 2608.12990) by Dongfang Li, Baotian Hu, Min Zhang and colleagues, LycheeMemory V2 replaces turn-level memory consolidation with semantic segment-level consolidation, using semantic boundary detection instead of fixed-window batching. It reports 89.22% on LoCoMo and 92.20% on LongMemEval-S while cutting construction tokens 86.0% and 75.9% respectively versus the A-Mem baseline. This is a different lever than last week's write-time-vs-retrieval framing: the win comes from how often you invoke the model to encode, which is the line item that actually shows up on an agent's bill.

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BENCHMARKED AGAINST
LoCoMo
LycheeMemory V2 scored 89.22% on LoCoMo with 86.0% fewer construction tokens than A-Mem.
Source finding
BENCHMARKED AGAINST
LongMemEval_S
LycheeMemory V2 scored 92.20% on LongMemEval-S with 75.9% fewer construction tokens than A-Mem.
Source finding

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arXiv 2608.12990

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