agent-memory-systems

讲解代理记忆架构：短期上下文、长期向量存储与认知组织模式。

讲清楚智能代理的记忆怎么搭：短期靠 context window、长期用 vector store，再用认知组织模式来检索和管理信息。适合设计有状态对话、需要长期跟踪用户或提升检索命中率的场景参考。关键观点是记忆不等于堆数据，而是要有检索和召回策略，让存储的事实能被及时利用。

# 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