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 Table 9), briefly summarized here: (1) Alternative retrievers (dense E5, dense BGE-M3, hybrid BM25++rerank, and temporal across 55 readers ×\times 33 seeds) all stay ≥61\geq 61 pp below the Qwen3-3232B Oracle cross-session reasoning ceiling of 93
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https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/html/2501.13956v1
com
Abstract
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark
https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem
Introduction
The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al
https://en.wikipedia.org/wiki/De_Havilland_Venom
>{{cite web |last=Gobel |first= Greg |url=https://www
https://en.wikipedia.org/wiki/Camel
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