claudegoodies
Skill

ReasoningBank with AgentDB

From ruvnet

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.

Facts

Repository
ruvnet/ruflo
Status
Actively maintained
Last commit
Source file
.agents/skills/reasoningbank-agentdb/SKILL.md

Source preview

The instructions Claude Code reads when this skill runs.

# 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

```bash
# 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

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

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

---

## Quick Start with API

```typescript
import { createAgentDBAdapter, computeEmbedding } from 'agentic-flow/reasoningbank';

// Initialize ReasoningBank with AgentDB
const rb = await createAgentDBAdapter({
  dbPath: '.agentdb/reasoningbank.db',
  enableLearning: true,      // Enable learning plugins
  enableReasoning: tru
View full source on GitHub →

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