الباحثون

Khaled Alashmouny

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نسخة أولية وصول مفتوح

Mem++: Non-Destructive Memory for Long-Term Organizational LLM Agents

Ahmad Yehia, Aly O. Abdelkareem, Islam Ahmed وآخرون · 2026

Large Language Model (LLM) agents now take part in organizational work, where many authors record decisions across documents over months. Because a revised decision arrives as a new document rather than an edit, answering a question requires knowing which version held at a given time. However, most memory systems compr …

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