Architecture Overview
Layers of Reasoning and Action
Built with Boundaries.
Open with Purpose.
Barnabus operates through a modular, agentic architecture. Each agent is defined by role, protocol layer, and memory boundary, allowing coordination without chaos, and learning without risk.
The agents shown here represent the surface layer. Deeper layers, including internal reasoning flows, security logic, and escalation protocols, are confidential by design, ensuring safety, compliance, and resilience across high-stakes domains.
Transparency, Without Compromise
Every agent is independently auditable, monitorable, and interruptible — without disrupting the larger system.
Our architecture complies with modern governance principles, and is designed for HIPAA, GDPR, and other regulatory frameworks.
A technical whitepaper is available upon request under NDA for qualified partners.
Think You Can Build Better?
We’re always looking for minds who can expand the Barnabus stack.
If you see an agent you’d reimagine, or one that’s missing, let’s talk:
Learning in Motion
Human Agentic Feedback
Track not just what a user does — but why they do it.
Override mechanisms treated as learning events
Feedback loop embedded in protocol flow
Alignment as Architecture
Built with Ethical Memory
Value-aligned architecture from design layer
Persistent self-calibration with feedback
Transparent memory access
Human-in-the-loop supervision by default
Evolving Protocol
This System Grows, AGI Roadmap Refresher
Phase 1
Modular Agents
Phase 2
World Modeling
Phase 3
Self-Reflection & Value
Phase 4
Social Reasoning & Autonomy
Every tile, every agent, every action — part of a system learning how to think.