The AI memory stack: a practical architecture for what agents should keep, load, and forget
blaizedsouza · x · 2026-10-11
A practical long-form piece on AI agent memory architecture, starting from a real problem: your agent remembers the migration is in progress, and the one that got replaced — but more history won't tell it which one still counts.
The author breaks down a memory stack for agents that can continue long work without carrying every old mistake into the next session, covering four decisions:
- What to save
- What to load
- What to recheck
- When to forget
A useful framework for agent engineers fighting context rot on long-running tasks.
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