The design section bridges theory and implementation. It starts from a concrete observation — that multi-agent AI systems face the same coordination problems operating systems solved decades ago — and follows that thread through architecture, data formats, agent communication, and memory.

The result is a system designed around explicit structure, clear ownership, and a sharp boundary between what code does and what language models do.

OS Principles

Systems Survey

Architecture

Data Formats

Related Work

Agent Prompts

Hybrid Memory Stack

Quality Threshold