CoreMind: A Distributed Cognitive Architecture for Human-AI Collaborative Workflows
This paper presents CoreMind, a distributed cognitive architecture that enables a single human operator to orchestrate multiple AI agents through a real-time synchronized shared knowledge base. Unlike conventional approaches that treat AI as a stateless tool, CoreMind treats AI agents as persistent cognitive nodes with defined execution domains. The system is implemented without vendor lock-in, operating entirely on the operator's own infrastructure, and manifests the principle of cognitive sovereignty which we call Nirvaya Atmapratistha. Importantly, CoreMind was not designed from theory — it was recognized in practice. The architecture emerged from a working deployment, formalized only after the pattern became undeniable.
Authors
- Asep Iskandar
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-05-16
- DOI
- https://doi.org/10.5281/zenodo.20238594
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 0.00