agentic-jujutsu
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
npx skills add majiayu000/claude-skill-registry --skill agentic-jujutsu-ruvnet-ruflo-5 --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
Provides a self-learning, multi-agent version control system for AI agents, featuring ReasoningBank-powered suggestions, automatic conflict resolution, and quantum-resistant security. It supports coordination among multiple agents, trajectory-based learning, pattern discovery, and encrypted integrity verification.
How it works
- Enables multiple AI agents to modify code simultaneously with lock-free version control.
- Offers a JavaScript API via a JjWrapper for operations like status, newCommit, log, diff, branchCreate, and rebase.
- Includes ReasoningBank-backed methods: startTrajectory, addToTrajectory, finalizeTrajectory, getSuggestion, getLearningStats, getPatterns, queryTrajectories, resetLearning.
- Tracks operations automatically using AgentDB, exposing stats through getStats, getOperations, and getUserOperations.
- Provides quantum-resistant security: generateQuantumFingerprint and verifyQuantumFingerprint; enableEncryption for HQC-128 encryption.
- Supports multi-agent coordination where several agents operate concurrently, share learnings, and leverage AI suggestions.
When to use it
- When multiple AI agents need to modify code simultaneously.
- When you require lock-free, fast version control with self-learning improvements.
- When future-proof security is important through quantum-resistant features.
- When you want automatic conflict resolution and intelligent, pattern-based suggestions.
- When coordinating multiple agents without blocking workflows.
What it can touch
- Core methods on the JjWrapper: status, newCommit, log, diff, branchCreate, rebase.
- ReasoningBank methods: startTrajectory, addToTrajectory, finalizeTrajectory, getSuggestion, getLearningStats, getPatterns, queryTrajectories, resetLearning.
- AgentDB: getStats, getOperations, getUserOperations, clearLog.
- Quantum security: generateQuantumFingerprint, verifyQuantumFingerprint, enableEncryption, disableEncryption, isEncryptionEnabled.
Caveats
- Validation rules and performance metrics are described in the skill, including trajectory requirements and success scores (e.g., finalizing trajectories requires prior operations).
- Licensing is MIT for the skill.
# 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(`C
- When to Use This Skill
- Quick Start
- Installation
- Basic Usage
- Core Capabilities
- 1. Self-Learning with ReasoningBank
- 2. Pattern Discovery
- 3. Learning Statistics
- 4. Multi-Agent Coordination
- 5. Quantum-Resistant Security (v2.3.0+)
- 6. Operation Tracking with AgentDB
- Advanced Use Cases
- Use Case 1: Adaptive Workflow Optimization
- Use Case 2: Multi-Agent Code Review
npx agentic-jujutsu
What does the agentic-jujutsu skill do?
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill agentic-jujutsu-ruvnet-ruflo-5 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.