AI Research · Systems Lab
About

Animus Machinae

An AI research lab studying machine competence, agent infrastructure, autonomy, and applied systems.

α

Emergent competence

GHOST asks whether foraging competence can be earned by living in a constrained digital ecology.

μ

Memory & routing substrate

Mimir, RouterBot, and DSL Router provide memory, model routing, and agent traces.

ω

Autonomous systems

ANIMUS, Aether, Anima, and Atlas explore persistent assistants, companions, voice, and command surfaces.

Σ

Applied operational AI

Aethon, Team Hub, and The System test coordination, state, progression, and human control in real workflows.

18+

Years building complex operational systems

12

Projects in the public portfolio

4

Active research programs

Live

Open-source agent infrastructure in production use

Background

Animus Machinae studies machine competence, memory, routing, and autonomy in artificial systems—and builds the infrastructure, agents, and simulations used in that work.

Research areas include artificial life, agent memory, routing infrastructure, autonomous assistants, and applied operational AI.

The projects listed on this site are the lab's current public work.

Research focus

  • Emergent competence in constrained digital ecologies
  • Agent memory, routing, and execution traces
  • Autonomous assistants and companion systems
  • Applied AI with human control and visible state
Contact
Contact Projects