ReasoningBank With AgentDB

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.

GitHub stars: 67.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill 'ReasoningBank with AgentDB' --agent claude-code

Installs into .claude/skills of the current project.

Files

ReasoningBank with AgentDB

What This Skill Does

Provides ReasoningBank adaptive learning patterns using AgentDB's high-performance backend (150x-12,500x faster). Enables agents to learn from experiences, judge outcomes, distill memories, and improve decision-making over time with 100% backward compatibility.

Performance: 150x faster pattern retrieval, 500x faster batch operations, <1ms memory access.

Prerequisites

Node.js 18+
AgentDB v1.0.7+ (via agentic-flow)
Understanding of reinforcement learning concepts (optional)

Quick Start with CLI

Initialize ReasoningBank Database

# Initialize AgentDB for ReasoningBank
npx agentdb@latest init ./.agentdb$reasoningbank.db --dimension 1536

# Start MCP server for Claude Code integration
npx agentdb@latest mcp
claude mcp add agentdb npx agentdb@latest mcp

Migrate from Legacy ReasoningBank

# Automatic migration with validation
npx agentdb@latest migrate --source .swarm$memory.db

# Verify migration
npx agentdb@latest stats ./.agentdb$reasoningbank.db