Your Agent’s Memory Is a Grammar, Not a Vector
中文摘要
新的AI记忆方法将记忆存储为决策树路径而非向量，比传统方法小119倍，并实现精确存储，提升智能体效率。
English Summary
New AI memory method uses decision tree paths (grammar) instead of dense vectors. This approach is 119x smaller and offers exact memory storage, improving agent efficiency and recall.
Original Excerpt
Storing memories as paths through a decision tree instead of dense embeddings 119× smaller than binary-quantised vectors, with exact… Continue reading on Medium »