AutoMOOSE

An LLM-driven agentic framework for automated MOOSE phase-field simulations.

AutoMOOSE orchestrates five specialized AI agents to automate the full simulation lifecycle — from natural-language problem specification through mesh generation, input file construction, job execution, result review, and visualization.

Getting Started

• Installation
  • Prerequisites
  • Clone the Repository
  • Python Dependencies
  • Environment Configuration
  • Frontend Dependencies
  • Verify Installation
• Quick Start
  • Start All Services
  • Run Your First Simulation
  • Monitor Runs

Architecture

• Architecture
  • Agent Pipeline
  • Agents
  • Plugin Registry
  • MCP Interface
• Agents
• Plugin Development
  • Plugin Interface
  • Common Pitfalls
• MCP Interface
  • Server Details
  • Available Tools
  • Example: Creating a Run via MCP
  • Future Directions

Usage

• Usage
• Examples
  • Grain Growth Temperature Sweep

API Reference

• API Reference

Development

• Contributing
• Changelog

Indices and tables

• Index

• Module Index

• Search Page