A Way to Look at Agent Architecture: Four Planes and Workflows

This paper looks at AI agent systems as four planes: Intelligence, Orchestration, Tools, and Information. It then defines the workflows that run across those planes, including the kernel workflow, memory, and intelligence call control. It is written for developers and architects who build production agents. It is a way of looking at agent systems, not a specification.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23670951
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

A Way to Look at Agent Architecture: Four Planes and Workflows

Sooraj Kadnor
Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
article

A Way to Look at Agent Architecture: Four Planes and Workflows

Sooraj Kadnor
article en

Abstract

This paper looks at AI agent systems as four planes: Intelligence, Orchestration, Tools, and Information. It then defines the workflows that run across those planes, including the kernel workflow, memory, and intelligence call control. It is written for developers and architects who build production agents. It is a way of looking at agent systems, not a specification.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
AI-based Problem Solving and Planning
DOIOpen Access PDFOpenAlex
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A Way to Look at Agent Architecture: Four Planes and Workflows — Sooraj Kadnor · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS