TECHNICAL REPORTS / TR-2025-33
—v1.0.0
Comparative Local-First Architectures
Analysis of local-first AI architectures with emphasis on routing efficiency, offline capability, and privacy-preserving inference patterns.
Report ID
TR-2025-33
Type
Framework Report
Date
2025
Version
v1.0.0
Authors
Comparative Research Team
ABSTRACT
We compare local-first AI architectures across routing efficiency, offline capability, and privacy-preserving inference patterns. Analysis covers FocusOS local-first design versus cloud-dependent alternatives.
KEYWORDS
ArchitecturePrivacyLocal Inference
DOCUMENT STRUCTURE
This report follows the Thynaptic House Style Guide v1.0 structure:
- 1.Introduction
- 2.Architectural Context
- 3.Methodology
- 4.Evaluation Results
- 5.System Behavior Analysis
- 6.Limitations
- 7.Forward Research Trajectories