agentdb-performance-optimization

Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.

$ 安裝

git clone https://github.com/bjpl/open_learn_co /tmp/open_learn_co && cp -r /tmp/open_learn_co/.claude/skills/agentdb-optimization ~/.claude/skills/open_learn_co

// tip: Run this command in your terminal to install the skill