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