AI Agent Memory Management: How to Reduce Context Bloat Without Losing Critical Details Strong AI agent memory comes from selective retention, not from replaying full history on every step. Good context window management keeps the prompt lean by preserving durable facts, decisions, and task state while compressing transient chatter. For most agentic workflows, the practical answer is a layered memory design: use rolling summaries for token reduction, checkpoint snapshots for exact state, ...