Memory Management in AI Agents

Lessons in this section

1. Working Memory

   How an agent keeps track of what it knows during a task: a scratchpad, facts versus assumptions, updates, compression, sliding windows with pinned facts, and memory budgets.

2. State Persistence

   How an agent saves its progress so it survives a crash: serialization, snapshots, recovery points, restoring, integrity checks and drift.