03 / About
Vitalii Zhyliaiev
building and exploring.
INDEPENDENT BUILDER
GITHUB / VITALII87
SINCE / 2016
In short
I’m interested in systems that give people clarity and control.
I build software tools and technical experiments — from local-first Windows applications to distributed-computing concepts.
At the same time I explore broader questions: how intelligence optimises decisions, why independent systems may converge and where the accidents of origin give way to the constraints of reality.
This site connects both sides: what can already be run and what still needs to be tested.
Forming the vision · 1980—2000
A future that began with science fiction
My interest in technology began in childhood, with the science fiction of the 1980s through the 2000s. Terminator, Aliens, The Matrix, 2001: A Space Odyssey, A.I. Artificial Intelligence and many other films taught me to see machines not only as tools, but as potentially independent intelligent systems.
I was especially fascinated by the idea that the same machine logic could look good or evil to a person—not because of a machine’s emotions, but because of its goals, rules and way of acting.
Later I discovered that many of these questions had long existed in real science—from Turing and Wiener’s cybernetics to today’s debates about autonomy, alignment and machine consciousness.
I do not yet consider contemporary AI systems to be complete artificial-intelligence organisms. But they are the first signals: we are standing at the threshold of the next era, in which such a system may emerge.
Images that shaped the curiosity
Questions → building → research
From watching systems to building them
The fascination eventually became practical. I started building my own systems around distributed computing, autonomous agents and long-term machine memory—not to recreate science fiction, but to test which parts of those ideas can actually work. Creonix, Swagri and my agent experiments grew from that direction.
I like ideas that initially sound too ambitious, but only if they can eventually be reduced to something testable. Imagination helps me find questions; experiments decide which answers survive.
A recurring question in my projects is whether intelligence has to live inside a single model at all. I am especially interested in distributed systems: heterogeneous agents, devices and processes that can coordinate, learn and gradually form something larger than their individual parts.
Systems in practice
Contact & feedback