Overview
SoS explores a critical problem in agent systems: how to let models act inside realistic environments without treating the host machine casually.
The project focuses on managing sandboxed execution surfaces for shell agents. That makes it relevant both for safe product behavior and for training and evaluation workflows where high-fidelity simulation matters.
SoS is part of the broader view that useful agency is grounded in execution. If an agent is going to do real work, the environment it acts in matters as much as the model driving it.
How It Works
Shell Agents
SoS treats shell agents as a structural part of the system rather than an afterthought.
Sandboxing
SoS treats sandboxing as a structural part of the system rather than an afterthought.
Environments
SoS treats environments as a structural part of the system rather than an afterthought.
Future Vision
What It Points To
SoS is part of a broader push toward software that embeds agency without surrendering clarity, control, or technical rigor.