AI & Machine Learning
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 fragm
- Publisher / source
- davila7/claude-code-templates (found on skills.sh)
- Upstream record
- davila7/claude-code-templates
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-02
- Content fingerprint
b920f5a44d253628477af73db59d50ca6ebbcb726e97a9ca6c1c78197b683594