AI Just Got a Lifelong Memory (SimpleMem) — It Finally Remembers
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SimpleMem智能体长期记忆体开源项目实践
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让AI拥有过目不忘的“一生记忆”：Omni-SimpleMem实现复杂对话准确率411%飞跃
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¡IA Autónoma Crea Omni-SimpleMem! La Mejor Memoria Multimodal para Agentes
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SimpleMem: Efficient Lifelong Memory for LLM Agents (30x Lower Cost)
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Autonomous AI Creates Omni-SimpleMem! The Best Multimodal Memory for Agents #ai #ai #llm #claude
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YouTubeEn la mente de la máquina, Inteligencia Artificial
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🧠 Multimodal SimpleMem is here (v0.2.0).SimpleMem now supports multimodal lifelong memory for LLM agents.- 🏆 LoCoMo F1: +47%- 🏆 Mem-Gallery F1: +51%🔬 What makes this special: Omni-SimpleMem was built using AutoResearchClaw's Human-in-the-Loop Co-Pilot mode — human researchers and AI agents co-piloting research, experiments, and writing together.💡 Three design principles:- 🔍 Selective Ingestion — entropy-driven filtering per modality- 🎯 Progressive Retrieval — hybrid FAISS + BM25 with pyra
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YouTubeBeau Carnes
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Sharing a super simple, user-owned memory module we've been playing around: nanomemThe basic idea is to treat memory as a pure intelligence problem: ingestion, structuring, and (selective) retrieval are all just LLM calls & agent loops on a on-device markdown file tree. Each file lists a set of facts w/ metadata (timestamp, confidence, source, etc.); no embeddings/RAG/training of any kind.For example: - `nanomem add ` starts an agent loop to walk the tree, read relevant files, and edit.- `nanome
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x.comKen Liu
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YouTubeOscar Lagrosen
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YouTubeGao Dalie (高達烈)
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SMEM - Swap Memory Usage
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