Viable Systems: How To Build a Fully Autonomous Agent

A blog post applying Stafford Beer's Viable System Model to building autonomous AI agents.

Author
Tim Kellogg
Published
Fri January 09, 2026
Kind
Personal blog post drawing on two of the author's own agents
Original
timkellogg.me/blog/2026/01/09/viable-systems
Subject
Harnesses and agent loops
Themes
What counts as a mind, Feedback loops

What it is

Tim Kellogg explains a cybernetics framework and how it shaped two agents Kellogg built. The post sets out to show how to build stable self-learning agents.

What it says

What evidence it gives

The evidence is the author's experience with two agents, Strix and Lumen. The post gives design descriptions and a few snippets of a flowchart and agent commentary. It reports no measurements or comparisons.

Interests and limits

The page carries a "Hire Me" box from the author. The author says algedonic signals were hard to build in Strix. Claims such as attractor basins are described as what Strix and the author believe. The framework is borrowed from organization theory, not tested here.

Connections

These links are this wiki's own reading, not claims the sources make.