Planned Release Date: To be announced

About This Game

Welcome to Endless Machines...

This is not a world waiting to be saved. It already moved on.

Long after humanity vanished, autonomous machines continue carrying out the tasks they were built for. Worker robots, drones, guards, mysterious Conductors, the Biome 2nd Admin, and the colossal ShellMother—trapped in an endless cycle—all carry out their roles in a system that continues around you, independent of your presence. Every machine exists for a reason, everything still serves a purpose, even if no one remembers why.

You are resourceful, but not the strongest machine in this world. And you don't need to be. You can fight anything. You won't survive everything. Sometimes the smartest decision is to fight. Sometimes it's to hide. Sometimes it's simply to observe.

Travel through lush forests, windswept plains, frozen tundras, forgotten cities, underground facilities, and strange tunnels where machines and organic matter have become intertwined. Every biome tells part of a story.

Scavenge scraps from the world around you, craft weapons and armor, adapt your build, and prepare carefully before choosing your next encounter.

In this lonely world, B.O.B. is your closest companion—a luminous presence that shifts form as it guides you and uncovers hidden paths.

Your journey begins with Katame. As the mystery unfolds, you awaken seven other robots scattered across the world of Endless Machines, each with their own abilities, personality, and perspective on the world they have awakened into. Their paths and stories gradually converge toward a single destination.

The deeper you explore, the stranger the world becomes as you uncover forgotten facilities and artifacts from a distant past. Nothing is explained outright, but revealed through observation, exploration, and curiosity.

⭐ 🤖 ❤️

Key Features

• Reactive world where enemies respond to your actions

• Multiple approaches to every encounter: fight, evade, or outsmart

• Scavenge and craft weapons, armor, and cosmetics

• Eight playable robots with distinct playstyles and perspectives

• Environmental storytelling uncovered through exploration

• A living ecosystem maintained by autonomous machines

AI Generated Content Disclosure

The developers describe how their game uses AI Generated Content like this:

We use AI to let our robots express themselves!
If a robot became alive, it wouldn’t come pre-programmed with the perfect way to express its thoughts or emotions — it would have to figure it out along the way. That’s why the hero robots in Endless Machines use AI to give voice to their thoughts and feelings.

What they say isn’t always polished or logical. It's quirky, weird, funny, and sometimes unexpectedly touching. It’s not a scripted, perfect dialogue. It’s more like a robot trying to make sense of the world — and itself — in real time.

This approach makes their personalities dynamic and unpredictable. For us, that’s what makes AI-driven dialogue a perfect fit for the game: It’s about learning, exploring, and growing — just like the robots themselves.

Under the hood, the game runs a small language model that has been custom fine-tuned for each robot's personality. It is instructed to speak through prompt engineering, ensuring the robot stays in character and relates to the game's lore. The model does not require online access.

We chose to use SmolLM because we were looking for a language model where the training background, technical setup, and use of data are transparent (open source and based on publicly available texts), and where the model can be run locally. We use this locally hosted language model (LLM) to generate text content during gameplay.

What the robots say in the game is defined and moderated by us. We have written a set of foundational texts that form the basis for each robot’s personality, tone, and way of expressing itself. From that foundation, they “build” further and develop over time. Endless Machines does not and cannot collect any data from the person playing the game.

All outputs are guided by custom prompt engineering, custom fine-tuning, and are controlled by local code at runtime to ensure appropriate content. More details on the model architecture and dataset can be found here:
🔗 https://huggingface.co/datasets/HuggingFaceTB/smoltalk