AI engineeringContext engineering is not prompt engineering
Context engineering is assembling what an agent sees when it acts: memory, retrieval, tool output, trajectory. The next bar is being able to prove what it saw.
Security & GovernanceAuditable AI agent memory: a mistagged memory is a decision made on a lie
If an agent stores a fact and later acts on it, that fact is now infrastructure. Most agent memory cannot say who wrote it, when, or whether it has changed. A worked example of auditable memory, the protocols that make it provable, and what exists today.
AI agentsWhy an AI agent needs a knowledge graph, not a chat log
Chat logs remember words. Vector dumps remember chunks. Neither remembers what an AI agent actually learned. A knowledge graph does: entities, relationships, consolidated over time, cited and provenanced. The difference between an agent that accumulates and one that just accrues.
ArchitectureThe Memory Problem
Stateless AI agents forget everything between sessions. How three-tier memory architecture solves the context retention problem.