RuView — AgentDB Optimization

Name: RuView — AgentDB Optimization
Availability: InStock
Author: ruvnet

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

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AI & Machine Learning

intermediate

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Last updated: October 22, 2026

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Quick Start

Install Command

npx skills add ruvnet/RuView --skill agentdb-optimization

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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

Quick Start

Run Performance

Install

npx skills add ruvnet/RuView --skill agentdb-optimization

Or copy the skill folder manually:

git clone https://github.com/ruvnet/RuView.git
cp -r RuView/.claude/skills/agentdb-optimization/ ~/.claude/skills/agentdb-optimization

Source: ruvnet/RuView — 99,120 stars, MIT, verified 2026-10-22.

RuView — AgentDB Optimization

AI Skill Market Insights

Quick Start

Install Command

TEAR & SHARE

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AgentDB Performance Optimization

What This Skill Does

Prerequisites

Quick Start

Run Performance

License

Memory Systems Design

Context Degradation Detection

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