How does Agentic Jujutsu differ from standard Git?

It uses a lock-free architecture that is significantly faster and incorporates self-learning intelligence to analyze trajectories and predict successful operation sequences.

Is Agentic Jujutsu secure against future threats?

Yes, it implements quantum-resistant security protocols including SHA3-512 fingerprints and HQC-128 encryption for trajectories.

What is a 'trajectory' in Agentic Jujutsu?

A trajectory is a recorded sequence of operations tied to a specific task, which the system evaluates with a success score to generate future AI suggestions.

How does it improve multi-agent collaboration?

The skill provides a shared learning bank where agents can benefit from the patterns and successes of others, reducing merge conflicts and redundant work.

Agentic Jujutsu

Name: Agentic Jujutsu
Author: while-basic

bywhile-basic

협업 도구

Manages lock-free, self-learning version control for multi-agent environments using quantum-resistant security and ReasoningBank intelligence.

소개

Agentic Jujutsu is a sophisticated version control skill designed specifically for high-velocity environments where multiple AI agents collaborate on the same codebase. Unlike traditional Git, it offers a lock-free architecture for faster performance and integrates ReasoningBank intelligence to learn from every operation. By tracking 'trajectories'—sequences of tasks and their outcomes—the skill identifies successful patterns and provides high-confidence suggestions for complex tasks like merges, deployments, and code reviews. With built-in quantum-resistant cryptography and automated conflict resolution, it provides a future-proof foundation for autonomous agent coordination.

주요 기능

Quantum-resistant security using SHA3-512 fingerprints and HQC-128 encryption
Self-learning ReasoningBank that improves operation success rates over time
Multi-agent coordination logic that allows simultaneous code modification without conflicts
Automated pattern discovery to identify and suggest optimal workflow sequences
Lock-free version control architecture designed for 23x faster performance than Git
0 GitHub stars

사용 사례

Optimizing CI/CD pipelines through adaptive learning of successful deployment patterns
Automating complex code reviews by leveraging historical success data and critiques
Coordinating a team of specialized AI agents working on a single repository simultaneously

소개

주요 기능

Quantum-resistant security using SHA3-512 fingerprints and HQC-128 encryption
Self-learning ReasoningBank that improves operation success rates over time
Multi-agent coordination logic that allows simultaneous code modification without conflicts
Automated pattern discovery to identify and suggest optimal workflow sequences
Lock-free version control architecture designed for 23x faster performance than Git
0 GitHub stars

사용 사례

Optimizing CI/CD pipelines through adaptive learning of successful deployment patterns
Automating complex code reviews by leveraging historical success data and critiques
Coordinating a team of specialized AI agents working on a single repository simultaneously