Local-first AI agent systems. The intelligence lives with you — on hardware you own, inside a network you control, without a third-party server in the loop.
We are not a cloud AI company. We are an infrastructure company.
A family of intelligent agent systems built on a single shared architecture. Each edition is calibrated for a different context. The underlying codebase, philosophy, and lineage are the same.
| Edition | Codename | Identity |
|---|---|---|
| Power | Mitternacht | Full operator instrument |
| Developer | Monorail | API-first, terminal-native |
| Enterprise | Conduit | Business deployment |
| Home | Bonsai | Local intelligence for the home |
| Education | Fieldlines | Learning and teaching |
Every RSPC AI system is built from the same named components:
- WhitCortex Core — reasoning and response generation
- Mono Scanner — pre-cortical signal gate
- RSP — Reflective State Processing
- Signal Memory — vector-indexed working memory
- Deep Store — persistent structured memory
- Instrument Suite — tool chain, scoped per edition
Reflection is not a feature. It is structural. Every system examines its own outputs before they leave. The Mono Scanner runs before the model sees the input. Memory persists across sessions. The operator has access to every named component.
Local First. Always. No inference happens on someone else's server without your knowledge. The computer that serves you best is the one you own.
Reflection is Architecture. Reflective State Processing is built into the core loop — not bolted on. The agent thinks about what it is about to say before it says it.
Operator-Grade by Default. RSPC AI systems expose their internals. Named components. Documented behaviour. No black boxes.
Built to reflect. Designed to endure.
An agent-led product family. Founder: Jody Whitlow