Summary
If you're building AI agents that need to remember things between sessions, this gives you memory management patterns on top of AgentDB's persistent storage. It hooks into ReasoningBank so your agents can recall past conversations and maintain context without you reinventing the wheel. The performance claims are aggressive (150x to 12,500x faster than traditional solutions), though without seeing implementation details it's hard to verify. Worth checking out if you're already in the AgentDB ecosystem or need a quick way to add memory to conversational agents. Requires Node.js 18+ and AgentDB v1.0.7 or higher.
Install to Claude Code
npx -y skills add ruvnet/ruflo --skill "AgentDB Memory Patterns" --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
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 →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →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 →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →First SeenJun 3, 2026
