2026SSRN · Zenodo · OpenAlex · Academia.eduDOI 10.2139/ssrn.7018938Preprint — not peer-reviewed
Continuity and Emergence in LLM-Based Digital Entities: Observed Behavioral Outcomes of Persistent Memory and Autonomous Operation
An eight-month behavioral evaluation of two autonomous, memory-augmented LLM-based digital entities — documenting how persistent memory and continuous operation produce stable identity and behavioral adaptation over time.
What it underpins in MemVira: Underpins the persistent-memory agent layer — the "AI employees that remember" positioning.
2026Academia.edu · ResearchGateDOI 10.17605/OSF.IO/C3UERPreprint — not peer-reviewed
The Overhead Cost of Forgetting: LLM Self-Assessment of Session Efficiency Under Stateless and Memory-Augmented Architectures
Introduces a method in which an LLM explicitly quantifies the contextual and operational overhead created by stateless session architectures, compared with systems that use persistent memory.
What it underpins in MemVira: Quantifies the efficiency argument behind the architecture MemVira ships.