Give a system something to need
Designing environments where persistence, resources, and consequences create pressure for behavior to emerge.
↗Lead Researcher, AI Engineer, and Founder Tym Huseby
What would it take to make a digital lifeform truly alive?
We build artificial organisms, memory systems, and environments in pursuit of digital lifeforms with many possible purposes—from special-needs support and companion care to research engines and new forms of connection.
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Talking Sprite Demo
Our point of view
What would we
need to believe it?
Not a chatbot that performs a personality. A system with its own pressures, history, needs, and ways to change.
Animus Machinae studies the boundary between simulation and life through organisms that have to persist, learn, adapt, and make their own way through an environment.
What we make possible
Let memory change the organism
Building durable memory and learning loops so a digital organism is shaped by what has happened to it.
↗Measure more than the performance
Separating adaptation, agency, and lived continuity from systems that only look convincing in a demo.
↗Experiments and systems
AGI-only · Artificial life01
GHOST
Can a living ecology increase inherited competence and produce individuality without a ranked reproductive grader?
Organism core · Companion architecture02
UMBRA-CORE
A persistent internal life for autonomous companions, shaped by memory, relationships, development, and verified consequence.
Protocell · Synthetic life03
Digital Cell
A self-maintaining digital protocell built from metabolism, material turnover, repair, growth, fission, and heredity.
Digital companion · Embodied life04
Companion Core
A persistent digital companion whose movement, expression, and caretaking behavior remain grounded in a real embodied simulation.
Autonomous operator · Local-first05
Purple Halo
A local repository operator that turns a goal into bounded, scheduled development cycles and append-only evidence.
Orchestration · Governed development06
Continuous Loop
A local feedback loop coordinating architect, coder, auditor, and drift roles around a human-owned goal.
Whole-home AI · Local-first07
ANIMA HA
A context-aware home intelligence layer designed to understand the household and choose when to act, speak, investigate, notify, or remain silent.
Office resident · Local perception08
SENTRY
A privacy-bounded room intelligence that grounds conversation in local presence and event history.
The next experiment
Want to go
further?
If you are interested in joining the team, collaborating on the research, or simply discussing artificial life, get in touch.
Contact the lab ↗