Version 2.0

GitArsenal V2 Documentation

AI-powered autonomous agents that handle your entire development workflow—from repository analysis to deployment—in isolated cloud environments.

What's New in V2

🤖
Autonomous AI Agents

Intelligent agents analyze and set up your entire repository automatically

🐳
Multi-Container Orchestration

Automatic detection and provisioning of all required services

🔍
Smart Repository Analysis

Deep codebase understanding with framework and dependency detection

One-Command Setup

Single command installation with automatic environment configuration

Quick Start

Installation

Install GitArsenal V2
curl -fsSL https://api.gitarsenal.dev/install | bash

The gitarsenal command will be available globally.

First Run

Launch GitArsenal
gitarsenal

The AI agent will guide you through repository selection, GPU requirements, and configuration.

Core Features

AI-Powered Setup

Autonomous agents analyze your repository structure, detect frameworks, identify dependencies, and automatically configure everything needed to run your code.

GPU Acceleration

Access powerful GPUs (T4, A10G, A100, H100) for machine learning, AI training, and compute-intensive workloads with automatic provisioning.

Cloud Isolation

Run your code safely in isolated cloud containers. Perfect for testing untrusted code, running experiments, or trying new frameworks.

Multi-Container Orchestration

Automatically spin up databases, caches, message queues, and all required services. The agent understands your architecture and provisions accordingly.

Persistent Storage

Keep your work, models, and data safe with persistent volumes that survive between sessions. Your progress is never lost.

IDE Integration

Use your favorite development tools: Claude Code, Gemini CLI, Cursor, or any SSH-capable editor. Complete control over your environment.

How It Works

1

Repository Analysis

The AI agent analyzes your repository structure, detects programming languages, frameworks, and dependencies. It understands your project's architecture and requirements.

2

Environment Provisioning

Based on the analysis, the agent provisions the exact containers, services, and resources needed. This includes databases, caches, GPU acceleration, and all dependencies.

3

Automatic Configuration

The agent configures everything automatically—environment variables, API keys, database connections, and service linking. No manual setup required.

4

Ready to Code

Connect with SSH or your preferred development tool. The environment is fully set up, dependencies installed, and services running. Start coding immediately.

What the AI Agent Can Do

Detection & Analysis

  • Detect programming languages and frameworks (Python, Node.js, Go, Rust, etc.)
  • Identify dependencies from requirements.txt, package.json, go.mod, etc.
  • Analyze Docker configurations and docker-compose.yml files
  • Detect required services (PostgreSQL, Redis, MongoDB, etc.)
  • Identify GPU requirements for ML/AI workloads

Provisioning & Setup

  • Provision compute resources and GPU acceleration
  • Spin up required databases and services
  • Install all dependencies automatically
  • Configure environment variables and secrets
  • Set up networking and service connections

Perfect For

🤖 AI & Machine Learning

Train models with GPU acceleration, experiment with different architectures, and deploy inference endpoints—all automatically configured.

🧪 Testing & Experimentation

Safely test untrusted code, try new frameworks, or experiment with different configurations in isolated environments.

🚀 Quick Prototypes

Clone any repository and have it running in minutes. Perfect for hackathons, demos, and rapid prototyping.

👥 Team Collaboration

Share consistent development environments across your team. Everyone gets the same setup, eliminating "works on my machine" issues.

📚 Learning & Education

Explore open-source projects, learn new frameworks, or teach students with ready-to-run environments.

🔬 Research & Development

Reproduce research experiments, run computationally intensive simulations, and collaborate on scientific projects.

V1 vs V2

FeatureV1V2
Repository AnalysisManual configuration✓ AI-powered automatic
Multi-Container SupportSingle container only✓ Full orchestration
Dependency DetectionManual specification✓ Automatic detection
Service ProvisioningNot supported✓ Databases, caches, etc.
Setup Time5-15 minutes✓ 2-5 minutes
Installationnpm/yarn packages✓ One-command installer
💳

Get Free Credits

For more free credits, reach out to:

Ready to Get Started?

Install GitArsenal V2 and let AI agents handle your development workflow