# Agentic Jujutsu

Quantum-resistant, self-learning version control for AI agents with ReasoningBank...

- Repository: https://github.com/ruvnet/RuVector (4653 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add ruvnet/RuVector --skill agentic-jujutsu -g -a claude-code -y`
Codex: `npx skills add ruvnet/RuVector --skill agentic-jujutsu -g -a codex -y`
Cursor: `npx skills add ruvnet/RuVector --skill agentic-jujutsu -g -a cursor -y`
Gemini CLI: `npx skills add ruvnet/RuVector --skill agentic-jujutsu -g -a gemini-cli -y`

## Description

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

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Agentic Jujutsu - AI Agent Version Control

> Quantum-ready, self-learning version control designed for multiple AI agents working simultaneously without conflicts.

## 🧠 Self-Learning Intelligence
Integrates with RuVector's Q-learning and vector memory for improved performance.
CLI: `node .claude/intelligence/cli.js stats`

## 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');

// Perform operations (automatically tracked)
await jj.execute(['git', 'push', 'origin', 'main']);
await jj.branchCreate('release/v1.0');
await jj.newCommit('Release v1.0');

// Record operations to trajectory
jj.addToTrajectory();

The rest: https://github.com/ruvnet/RuVector/blob/HEAD/.claude/skills/agentic-jujutsu/SKILL.md