reasoningbank-intelligence

Solid

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or implementing meta-cognitive systems.

AI & Automation 57,130 stars 6508 forks Updated today MIT

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Skill Content

# ReasoningBank Intelligence ## What This Skill Does Implements ReasoningBank's adaptive learning system for AI agents to learn from experience, recognize patterns, and optimize strategies over time. Enables meta-cognitive capabilities and continuous improvement. ## Prerequisites - agentic-flow v1.5.11+ - AgentDB v1.0.4+ (for persistence) - Node.js 18+ ## Quick Start ```typescript import { ReasoningBank } from 'agentic-flow/reasoningbank'; // Initialize ReasoningBank const rb = new ReasoningBank({ persist: true, learningRate: 0.1, adapter: 'agentdb' // Use AgentDB for storage }); // Record task outcome await rb.recordExperience({ task: 'code_review', approach: 'static_analysis_first', outcome: { success: true, metrics: { bugs_found: 5, time_taken: 120, false_positives: 1 } }, context: { language: 'typescript', complexity: 'medium' } }); // Get optimal strategy const strategy = await rb.recommendStrategy('code_review', { language: 'typescript', complexity: 'high' }); ``` ## Core Features ### 1. Pattern Recognition ```typescript // Learn patterns from data await rb.learnPattern({ pattern: 'api_errors_increase_after_deploy', triggers: ['deployment', 'traffic_spike'], actions: ['rollback', 'scale_up'], confidence: 0.85 }); // Match patterns const matches = await rb.matchPatterns(currentSituation); ``` ### 2. Strategy Optimization ```typescript // Compare strategies const comparison = await rb.compare...

Details

Author
ruvnet
Repository
ruvnet/ruflo
Created
12 months ago
Last Updated
today
Language
TypeScript
License
MIT

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