Building Memory for AI Agents: Context Windows, Vector Search, PostgreSQL, and Long-Term Recall
中文摘要
本文探讨 AI 智能体如何利用上下文窗口、向量搜索和 PostgreSQL 构建持久记忆，实现事实存储与长效回忆。
English Summary
Explore how AI agents use context windows, vector search, and PostgreSQL to build persistent memory and achieve long-term recall across conversations.
Original Excerpt
How modern AI systems store facts, recall past interactions, use vector search, and build persistent memory across conversations. Continue reading on Let’s Code Future »