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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

38

1.06x
Quality

11%

Does it follow best practices?

Impact

78%

1.06x

Average score across 3 eval scenarios

SecuritybySnyk

Passed

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tessl review fix ./docs/v19.7/configuration/agent/skills_external/antigravity-awesome-skills-main/skills/agent-memory-systems/SKILL.md
SKILL.md
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baseline vs usage-spec

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019cc58f-97aa-73d9-a86c-bfb8f9ca155a

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Repository
duclm1x1/Dive-Ai
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

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