Individual skill
agentdb-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.
v3/@claude-flow/cli/.claude/skills/agentdb-optimization/SKILL.md
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- swarm Repository topic
- agentic-ai Repository topic
- agentic-framework Repository topic
- agentic-workflow Repository topic
- autonomous-agents Repository topic
- codex Repository topic
- mcp-server Repository topic
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- ai-assistant Repository topic
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- operations Derived category
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# AgentDB Performance Optimization
## What This Skill Does
Provides comprehensive performance optimization techniques for AgentDB vector databases. Achieve 150x-12,500x performance improvements through quantization, HNSW indexing, caching strategies, and batch operations. Reduce memory usage by 4-32x while maintaining accuracy.
**Performance**: <100µs vector search, <1ms pattern retrieval, 2ms batch insert for 100 vectors.
## Prerequisites
- Node.js 18+
- AgentDB v1.0.7+ (via agentic-flow)
- Existing AgentDB database or application
