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
23
Quality
3%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
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npx tessl skill review --optimize ./.agent/skills/agent-memory-systems/SKILL.mdScanned
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