NYXA research notes
Human-centered AI needs continuity, not just outputs.
Notes on identity stability, memory governance, cognitive persistence and spatial intelligence in long-lived AI systems.
Research direction
This section extends NYXA's architectural work with focused notes. The goal is not AI hype, but operational clarity: how systems remain coherent across sessions, policy transitions and role shifts.
Why Memory Is Not Enough for AI Identity
Memory persistence alone cannot guarantee identity continuity in adaptive systems.
From Chatbots to Persistent Cognitive Systems
Research note in progress on continuity layers, role-state handling and governance.
Spatial Intelligence: Why AI Needs Worlds, Not Just Words
Research note in progress on world-grounded cognition beyond language-only interaction.
Reflective Stabilization
Perplexity’s production lessons around realtime voice expose where agentic systems become fragile: context pressure, role confusion, timing, audio, and tool boundaries. Nyxa extends this into reflective stabilization — the ability of a persistent AI system to recover, clean up, and restructure its internal state after overload.
KI im Unternehmen: Was niemand fragt — aber jeder wissen sollte
Viele Unternehmen nutzen KI bereits produktiv. Doch Verantwortung, Protokolle, Anbieterabhängigkeit und Governance werden oft erst dann sichtbar, wenn Audit, Rechtsstreit oder Preiserhöhung sie erzwingen.