Part 2 in the Factory Agent Series: A Visual Walkthrough of Intelligent Control
Before diving into the data backbone and architectural principles that power Factory Agents, we wanted to show you something real — and fun.
What happens when you bring large language models into a living, breathing (virtual) industrial world?
Let us introduce:
Factorio + LLM Agents
An open-ended simulation of intelligent control systems, where LLM agents perceive, reason, and act inside a virtual factory.
Before we dive into architecture and agents, let's briefly introduce the world where our experiments unfold — the beloved simulation game: Factorio.
You will be mining resources, researching technologies, building infrastructure, and automating production. Use your imagination to design your factory, combine simple elements into ingenious structures, and apply management skills to keep it working.
The game is very stable and optimized for building massive factories. You can create your own maps, write mods in Lua, or play with friends via Multiplayer.
What makes Factorio particularly valuable for AI research is that it provides a ready-made, physically coherent industrial simulation environment. Rather than building complex physics engines and world rules from scratch, researchers and developers can leverage this existing platform to:
This "natural laboratory" approach allows us to focus on agent intelligence rather than simulation development, significantly accelerating the research cycle for industrial AI applications.
In our experiment, we set up a custom sandbox scenario: