INDEPENDENT RESEARCH. OPEN POSSIBILITIES.

Artificial life.
Real possibilities.

What if intelligence could grow with you?

OpenFluke explores the space between AI, living worlds, and the devices we call our own. Built from the engine up. Shared along the way.

An illustrated artificial world, with connected orbits representing biology, computation, and learning.COMPUTATIONBIOLOGYLEARNING
+ THE SPACE BETWEEN LIFE & INTELLIGENCE FIG. 01
Artificial life On-device intelligence Open development Research you can explore

THE BIG PICTURE

One vision. Three connected parts.

You don’t need to know AI to understand
what we’re building.

ALife: BecomingIN ALPHA · GROWING TOWARD BETA

THE GAME / ALIFE: BECOMING

A little world.
A much bigger idea.

Explore connected worlds with friends across web and local play. Record a trail, teach a Spark, and see what it can do after the teacher is switched off.

Built around continuous on-device learning and persistent memory, Becoming brings AI into play. It is still in alpha: TwinTrace learning is integrated, and the wider game loop is being finished on the way to beta.

MultiplayerOn-device learningPersistent memory
Explore Becoming

NOT A STRAIGHT LINE. A CONNECTED JOURNEY.

Every experiment
brought us here.

From Primecraft and Biocraft to Birdkit and SoulGlitch, each project asked where a chaos simulation engine might fit. ALife OS was the prototype. ALife: Becoming is the actual game growing out of those experiments.

Alongside them, Paragon and Loom shaped the engine that became Welvet.

Follow the research journey

A FEW GOOD QUESTIONS

Let’s make it simple.

New here? Start here.

What is OpenFluke?+

OpenFluke is the independent AI and artificial-life research practice of Samuel Watson in Australia. It brings together the Welvet AI engine, ALife OS, the earlier prototype, and ALife: Becoming, the game now in alpha.

What is Welvet?+

Welvet is the AI engine underneath the work: software for running and training neural networks. Written in Go, it explores different ways to store, calculate, and update models on CPU and WebGPU hardware. Paragon and Loom are earlier engine designs whose lessons continue in Welvet.

What is ALife: Becoming?+

An AI exploration sandbox in alpha, built around continuous on-device learning and persistent memory. Cross-platform multiplayer works through web and local play. You can record trails, train a Spark with TwinTrace, and try its saved learning. The wider game loop is still being completed toward beta.

What happened to ALife OS?+

ALife OS was the prototype. ALife: Becoming is the actual game that grew from it. The older design notebook is preserved as history, rather than a list of completed features.

What does on-device learning mean?+

The AI learns on the machine running the game simulation. In local play that is your own device; in a hosted multiplayer session it is the host. TwinTrace explores learning from new experience while keeping useful behaviour in a saved model.

Is Becoming finished?+

Not yet. It is in alpha, working toward beta. Exploration, multiplayer, and the trail-learning experiment work today. The broader loop of teaching creatures useful jobs, building, and progressing is still being finished.

What happened to the earlier projects?+

Primecraft, Biocraft, Birdkit, and SoulGlitch explored different places and configurations for the chaos simulation engine. Those experiments and pivots led through the ALife OS prototype to ALife: Becoming. Paragon and Loom sit on the engine side of that history, leading into Welvet.

Do I need to understand AI to explore this work?+

No. Start with the game and engine overviews. The book and examples are there when you want the technical detail, including source code, recorded outputs, and the limitations documented in the original work.