Architecture Overview

Understanding K9-AIF

A guided introduction to the architecture, philosophy, and positioning of K9-AIF.

K9-AIF is an architecture-first framework for building governed, modular multi-agent AI systems aligned with enterprise architecture principles.

This reading path is designed for stakeholders who want to understand why K9-AIF exists, what it is, how it differs from agent frameworks, and where it creates value.

GitHub Repository Architecture Patterns Python API Docs Main Site

Understanding K9-AIF

This section provides a structured introduction to the K9-AIF architecture, design philosophy, and positioning.

Recommended Reading Order

Key Idea

K9-AIF treats agentic AI as an architectural discipline rather than an orchestration problem.

It introduces structure, governance, and layering to enable production-grade multi-agent systems.

Related Resources

K9-AIF GitHub Repository
K9-AIF Architecture Blog
Python API Docs
K9X Enterprise Insurance Operations Center (EOC) — the canonical production-grade reference implementation

Architecture

Architecture Graph — interactive view of all ABBs, SBBs, factories, and relationships
Architecture Patterns — catalog of 10 reusable patterns with class diagrams and usage examples
Well-Architected Framework — security, reliability, cost, performance, and operational excellence pillars for K9-AIF deployments
K9-AIF Architecture Bus — the governed execution bus connecting any agent framework to any model provider