Summary
If you're running AgentDB vector databases and hitting performance walls, this is worth checking out. It bundles quantization, HNSW indexing, caching strategies, and batch operations into one skill with some impressive benchmark claims: sub-100 microsecond vector search and 4x to 32x memory reduction. The numbers sound almost too good (150x to 12,500x improvements), so you'll want to test against your own workload, but the techniques are solid and well documented. Requires Node.js 18+ and AgentDB v1.0.7 or higher. Good fit if you're already using agentic-flow and need to squeeze more out of your vector operations without rewriting everything.
Install to Claude Code
npx -y skills add ruvnet/ruflo --skill "AgentDB Performance Optimization" --agent claude-codeInstalls into .claude/skills of the current project.
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
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Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
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Integrate web data into your AI product. One API to scrape website & brand data.
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →Files
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Featured
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
