Byproducts of curiosity that solve real problems.

You and your partner disagree about the thermostat. Your roommate has opinions about the lights. Your teenager has a different sleep schedule. In most smart home systems, someone wins and everyone else loses. MANAS treats this as what it actually is: a multi-agent decision conflict with uncertain preferences.

Under the hood, Parallax handles the formal argumentation. Personality profiles become arguments with different levels of certainty. Environmental context, like the weather outside, enters the reasoning as real-time data. The result is not a compromise. It is a formally justified resolution that accounts for how strongly each person actually feels.

We are building this on hardware modest enough to sit in any home. The intelligence runs locally. Your household data stays in your house. The details of what is coming next are something we would rather show than tell.

BUDDY is a small, round, friendly robot designed for children in Montessori environments. It looks like something a child would want on their desk. The creature on its screen has a species, a personality, and a growth arc tied to the child's own learning journey.

The species is not random. It is determined by a method unique to each child, revealed through a workshop experience that builds anticipation over weeks. The behavioral assessment running underneath uses play-based games, not clinical tests. Children engage naturally. The data emerges from how they play, not what they report.

We are testing this with Montessori educators now. The voice AI layer, when it activates, passes every interaction through our governance pipeline to ensure child safety. If you are an educator interested in piloting, we want to hear from you.

CLAW exists because we needed to guarantee that AI interactions with children would be safe. Not marketing-safe. Formally verifiable safe. So we built a multi-stage pipeline where sensitive information gets caught, policy constraints get enforced, and argumentation-based conflict resolution handles the edge cases that rule-based systems miss.

The pipeline is a companion to Parallax, not a subsystem of it. It has its own architecture, its own scope, and its own repository. When BUDDY Bot's voice AI speaks to a child, CLAW is the reason we can trust what it says. The argumentation layer uses the same formal methods as Parallax, applied to the specific challenge of governing AI output in sensitive contexts.

It is open source. We think AI governance tooling should be inspectable by anyone who cares enough to look.