agent-memory-systems

介绍智能体记忆（短期/长期/检索）与架构设计要点。

讲清智能体的记忆体系，包括短期（context window）、长期（向量存储）和检索机制，解释如何组织、索引和更新记忆以便快速找回信息。适合在构建需跨会话保持状态或从大量事实中检索有用信息的代理系统时参考。核心观点是记忆不只是存储，更关键的是能检索到有用内容。

# Agent Memory Systems

Memory is the cornerstone of intelligent agents. Without it, every interaction
starts from zero. This skill covers the architecture of agent memory: short-term
(context window), long-term (vector stores), and the cognitive architectures
that organize them.

Key insight: Memory isn't just storage - it's retrieval. A million stored facts
mean nothing if you can't find the right one. Chunking, embedding, and retrieval
strategies determine whether your agent remembers or forgets.

The field is fragmented with inconsistent terminology. We use the CoALA cognitive
architecture framework: semantic memory (facts), episodic memory (experiences),
and procedural memory (how-to kn