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NeuralMemory — Associative Memory for AI Agents
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2026/3/9
A biologically-inspired memory system that uses spreading activation instead of keyword/vector search. Memories form a neural graph where neurons connect via 20 typed synapses. Frequently co-accessed memories strengthen their connections (Hebbian learning). Stale memories decay naturally. Contradictions are auto-detected.
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资源信息
- 数据来源
- bigquery-gharchive
- 分类
- uncategorized
- 创建时间
- 2026/3/9
- 更新时间
- 2026/3/14
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