agentic-jujutsu

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Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination

AI & Automation 59,062 stars 6797 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Agentic Jujutsu - AI Agent Version Control > Quantum-ready, self-learning version control designed for multiple AI agents working simultaneously without conflicts. ## When to Use This Skill Use **agentic-jujutsu** when you need: - ✅ Multiple AI agents modifying code simultaneously - ✅ Lock-free version control (23x faster than Git) - ✅ Self-learning AI that improves from experience - ✅ Quantum-resistant security for future-proof protection - ✅ Automatic conflict resolution (87% success rate) - ✅ Pattern recognition and intelligent suggestions - ✅ Multi-agent coordination without blocking ## Quick Start ### Installation ```bash npx agentic-jujutsu ``` ### Basic Usage ```javascript const { JjWrapper } = require('agentic-jujutsu'); const jj = new JjWrapper(); // Basic operations await jj.status(); await jj.newCommit('Add feature'); await jj.log(10); // Self-learning trajectory const id = jj.startTrajectory('Implement authentication'); await jj.branchCreate('feature/auth'); await jj.newCommit('Add auth'); jj.addToTrajectory(); jj.finalizeTrajectory(0.9, 'Clean implementation'); // Get AI suggestions const suggestion = JSON.parse(jj.getSuggestion('Add logout feature')); console.log(`Confidence: ${suggestion.confidence}`); ``` ## Core Capabilities ### 1. Self-Learning with ReasoningBank Track operations, learn patterns, and get intelligent suggestions: ```javascript // Start learning trajectory const trajectoryId = jj.startTrajectory('Deploy to production'); // P...

Details

Author
ruvnet
Repository
ruvnet/ruflo
Created
1 years ago
Last Updated
today
Language
TypeScript
License
MIT

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