AI Architecture Research
ChronosWorx is developing the foundational cognitive infrastructure that AI systems need to be genuinely useful — not just capable in a single session, but persistent, personal, and trustworthy over time.
Current research spans five interconnected areas:
Aevi
An always-on, on-device AI companion. The first complete application of the ChronosWorx AI stack. Knows you. Watches over you. Acts when it matters.
STAR — Scalable Tiered Associative Retrieval
A persistent hierarchical memory architecture. AI that remembers — not just within a conversation, but across your entire relationship.
DEC — Digitally Embodied Cognition
A persistent identity framework for large language models. AI that maintains a coherent, stable sense of self across sessions and model families.
ICR — Iterative Compositional Retrieval
A multi-pass retrieval protocol that fundamentally rethinks how AI systems use their context window — as a processor, not a container.
Capability Injection
A method for injecting new capabilities into deployed AI models without any retraining. New skills. No downtime. No fine-tuning.
Learn about Capability Injection →
All ChronosWorx AI research is published open-access on Zenodo. View AI Publications →