This combines ReasoningBank's adaptive learning patterns with AgentDB's performance backend to give Claude agents something like long-term memory and learning from experience. The pitch is speed: 150x faster pattern retrieval, 500x faster batch operations, sub-millisecond memory access. You're essentially getting reinforcement learning concepts (judging outcomes, distilling memories, improving decisions over time) without the performance hit that usually comes with it. It's from the ruflo repo which has 57K stars, so there's real traction here. If you're building agents that need to remember and adapt across sessions rather than starting fresh every time, this is worth looking at. Setup requires Node 18+ and AgentDB via agentic-flow.
npx -y skills add ruvnet/ruflo --skill "ReasoningBank with AgentDB" --agent claude-codeInstalls into .claude/skills of the current project.
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