System Design
Architecture
A layered architecture designed from first principles for AI agent workloads.
LAYER 00
Hardware Abstraction
Direct GPU/TPU/NPU access with unified tensor API
LAYER 01
Neural Memory Subsystem
Vector-native storage, attention caches, embedding pools
LAYER 02
Security & Isolation
Hardware-rooted trust, capability tokens, encrypted memory
LAYER 03
Agent Runtime
Process lifecycle, scheduling, inter-agent communication
LAYER 04
Orchestration Layer
Multi-agent coordination, task pipelines, consensus
LAYER 05
Application Interface
SDK, CLI, APIs for building agent-native applications
DESIGN PRINCIPLE
Every layer is optimized for AI inference and agent autonomy — no legacy abstractions, no virtualization overhead, no compromises.