别再给智能体重训练了，先搞定记忆。Mem0创始人手把手教你5步循环，来自实战经验。
Mem0 CEO Taranjeet在Qdrant向量空间日上指出持续学习本质是记忆问题而非训练问题。他区分权重（存储通用技能）与记忆（存储用户/团队特定信息），强调记忆应快速、可检查、可逆、可移植。提出5步循环：观察→提取→检索→行动→遗忘/更新。Mem0作为开源记忆层，生产环境下基于Qdrant引擎运行。
"Continual learning isn't a training problem. It's a memory problem." @taranjeetio (co-founder & CE...
"Continual learning isn't a training problem. It's a memory problem." @taranjeetio (co-founder & CEO, @mem0ai ) breaks down why agents need memory before they need retraining at our Vector Space Day conducted in SF. - Weights = stable, general stuff (skills, reasoning patterns) - Memory = everything tied to a specific user/team/org - fast, inspectable, reversible, portable His 5-step loop for agent memory: observe → extract → retrieve → act → forget/update Built on real lessons scaling @mem0ai (open-source memory layer, running on @qdrant_engine under the hood) in production. Full talk: youtube.com/watch?v=yw-7Of… 💬 1 🔄 0 ❤️ 1 👀 36 📊 1 ⚡