Architecture
7 posts tagged Architecture, from the Kortix Blog.
Kortix vs QM: both open source, one organizes work around rooms, the other around branches
QM and Kortix both give teams persistent agents, isolated computers, Slack and web access, and self-hosting. The decisive difference is deeper: QM organizes work around people and rooms; Kortix organizes it around git-backed projects and reviewable sessions.
Static software is dead: the shift from code to feedback loops
The way we build software is fundamentally changing. Static software no longer creates a defensible advantage. The shift is to dynamic software that improves through feedback loops.
The only moat that matters: why your AI platform needs a learning loop, not a better model
Every AI product is converging on the same architecture. The only defensible advantage is a data flywheel — a learning loop where every interaction makes your system better. Here is what that means, and why Kortix is built for it.
The test of sovereignty: can you swap the model without losing what you built?
The most important question for any company adopting AI: can you switch out the model without losing the institutional expertise you have built? A sovereignty checklist for evaluating your AI platform.
Kortix vs Poetic: both turn workflows into code — the difference is who owns the code
Poetic compiles your procedures into a purpose-built language it runs for you. Kortix keeps the workflow as ordinary code in a repo you own, and gates the boundary where it touches the world. A technical comparison of two answers to the same problem.
Open source is what makes an AI Operating System yours
Kortix is open source: one git repo for the agents, skills, memory and connector config, self-hosted or managed, on any model.
Open-source architecture that survives the next model
AGI-ready doesn't mean an architecture that produces AGI. It means one that absorbs a 100× capability jump without losing state or granting uncontrolled access. How Kortix is built for it.