Graph Engineering — The Loop Memory Model
Give agentic workflows durable memory, traceability, and shared knowledge with graphs
$59.01
- Paperback
138 pages
- Release Date
19 October 2026
Summary
Agent loops are good at producing work, but the reasoning behind that work disappears the moment the context window closes. Two agents rediscover the same bug three sprints apart; a decision made in run 12 gets silently contradicted in run 47.
Graph Engineering moves that reasoning out of transcripts and into an explicit knowledge graph. You’ll model execution history separately from durable knowledge, then connect the two with a small set of bridge relationships. Markdown st…
Book Details
| ISBN-13: | 9781808812477 |
|---|---|
| ISBN-10: | 1808812476 |
| Author: | Volodymyr Pavlyshyn |
| Publisher: | Packt Publishing Limited |
| Imprint: | Packt Publishing Limited |
| Format: | Paperback |
| Number of Pages: | 138 |
| Release Date: | 19 October 2026 |
| Dimensions: | 191mm x 235mm |
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Volodymyr Pavlyshyn
Volodymyr Pavlyshyn writes about AI-driven software engineering, agent workflows, and durable engineering knowledge.
Graph Engineering is the third book in his Clarity series, following The Clarity Engineer and The Clarity Forge. Across the series, he explores how engineering judgment, specifications, architecture records, and agent execution can be turned into explicit artifacts that survive tool and model changes. In this book, he extends that work from durable specifications to graph-based memory for multi-agent development.
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