GalagaV
AI Development Operating System — GalagaV is a timeline-driven AI development platform that unifies project planning, prompt orchestration, architecture visualization, repository management, and local execution into a single workspace.
Vision.
I believe the future of software development is collaborative—where humans define intent and AI executes with precision.
GalagaV exists to become the operating layer between architectural thinking and AI execution, creating a system where timelines, instructions, repositories, and visual models remain aligned throughout the entire development lifecycle.
Our goal is to establish a new standard for AI-assisted development: structured, traceable, extensible, and context-aware.
Why GalagaV?
Modern AI-assisted development is fragmented.
- Project requirements live in documents.
- Tasks live in project management tools.
- Prompts live in scattered markdown files.
- Architecture lives in diagrams.
- Code lives in repositories.
- Execution happens in terminals.
As projects grow, context becomes increasingly difficult to maintain.
GalagaV solves this by bringing every layer of the development workflow into a unified environment.
Core Capabilities
Timeline-Driven Development
Organize projects through structured timelines that act as both planning systems and AI instruction frameworks.
- Step and sub-step orchestration
- AI-ready task structures
- Rich markdown and contextual payloads
- Project archiving and lifecycle management
- Sandbox project initialization
Prompt & Context Management
Maintain persistent AI instructions directly alongside project workflows.
- Reusable prompt systems
- Context-aware instruction chains
- Rich markdown support
- AI workflow documentation
- Project-specific operational guidance
Repository & Filesystem Synchronization
Bridge the gap between local development environments and project orchestration.
- Native Git integration
- Branch and commit awareness
- Automatic repository detection
- Local filesystem synchronization
- Markdown task tracking
- Package and dependency visibility
Integrated Development Operations
Execute and monitor development workflows without leaving the platform.
- Embedded terminal execution
- Native Node.js process control
- Local environment management
- Script automation
- Development workflow monitoring
Architectural Visualization
Transform project structures into interactive visual systems.
- Interactive node-based architecture diagrams
- Database and schema modeling
- Relationship mapping
- Visual system exploration
- Local architecture persistence
Extensible Plugin Ecosystem
Customize and extend GalagaV to fit any workflow.
- Dynamic plugin loading
- Runtime module injection
- Custom tooling integration
- UI extensions
- Operational overlays
- Manifest-driven registration
Platform Stack
| Layer | Technology |
|---|---|
| Frontend | React 18, TypeScript, Vite |
| UI & Motion | Motion, Tailwind CSS |
| Backend | Node.js, Express |
| Database | SQLite (sql.js) |
| Runtime | Child Process APIs, Git CLI, Chokidar |
| Storage | Local Disk & Sandbox Workspaces |
Design Principles
Timeline as Truth
Every project state originates from a timeline. Execution follows structure.
Context is a First-Class Citizen
AI systems perform best when context remains organized, accessible, and synchronized.
Local-First Architecture
Projects remain connected to the developer's machine, repositories, and workflows.
Modular by Design
Every component should be replaceable, extensible, and independently scalable.
Visualize Everything
Architecture, tasks, repositories, and workflows should be observable in real time.
The Future
GalagaV is evolving into a complete AI development ecosystem—combining project orchestration, prompt intelligence, architecture management, repository synchronization, and operational tooling into a single platform.
- > One workspace.
- > One timeline.
- > One source of truth.
Build faster. Maintain context. Scale with confidence.
Building the next generation of unified timeline orchestration and local architectural ecosystem management platforms.