MatCreator

An agentic AI platform for computational materials science.
Build workflows, generate structures, run simulations, and continuously acquire new skills.

Documentation · Quick Start · Launch

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✨ Features

• 🧠 Agentic workflow planning using graph-based execution
• 🔬 Materials science focused, from crystal generation to MLFF workflows
• 🧩 Skill-based architecture — capabilities are modular and extensible
• 📚 Self-improving knowledge graph that accumulates experience over time
• 🌐 Modern Web UI with graph visualization and artifact management
• ⚡ CLI + API + Web interfaces

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Quick Start

Installation

git clone https://github.com/AI4MS/MatCreator.git
cd MatCreator

pip install uv
uv venv .venv --python 3.12
source .venv/bin/activate

uv pip install -e .

Configure your LLM credentials through the MatCreator CLI

matcreator config set llm.model=openai/qwen3-plus
matcreator config set llm.api_key=your-api-key
matcreator config set llm.base_url=https://api.example.com/v1

Start an interactive session from the workspace you want MatCreator to use

matcreator chat --workspace .

[Optional] Install official skills (SkillForge)

MatCreator can install corporation-maintained official skills from the SkillForge repository managed by the MatCreator team. These skills are installed into ~/.matcreator/skills/official and loaded alongside built-in and custom skills.

Notice: Only authenticated users with repository access can install official skills from SkillForge.

matcreator install official --repo git@github.com:AI4MS/SkillForge.git --ref devel

If your repository requires authentication, configure your Git SSH keys or credential helper first.

[Optional] Install vite

For using vite web frontend, you need to install it first:

cd web/vite-frontend
npm install

Make sure your system has node.js installed before installing vite.

Check vite installation with:

npx vite --version

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Launch

Web Interface (Recommended)

bash script/start_matcreator.sh

This starts

• ADK API
• FastAPI backend
• Vite frontend

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CLI

matcreator chat

matcreator chat --workspace ~/materials-project

By default, matcreator chat starts in Flash mode for fast direct interaction. Use matcreator chat --plan when you want the full planning and graph-execution workflow.

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Documentation

Full installation, configuration, and deployment documentation is available at ai4ms.github.io/MatCreator.

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Vision

MatCreator aims to become a continually evolving AI scientist for computational materials research by combining

• Large language models
• Scientific software
• Modular skills
• Long-term knowledge accumulation

into a unified agentic system.

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License

Apache 2.0