Context‑Gated Pattern Accumulation (CGPA): A Design Artefact for Persistent, Privacy‑Preserving AI Memory in Task‑Oriented Conversational Systems

Task-oriented conversational AI deployments in edge environments face a constraint combination that existing architectures address only partially: persistent operational memory without cloud retraining, sub-second response latency on commodity hardware, structural privacy enforcement, and direct physical-world actuation. This paper presents Context-Gated Pattern Accumulation (CGPA) as a Design Science Research artefact — demonstrated across one production trial (MAOI), two active development dep