Definition
A separate model that watches an AI agent's running notebook and rewrites it into a clean summary when it gets too full.
A dedicated module in long-horizon agent systems (e.g., QUEST, AgentFugue) that compresses accumulated rollout context into structured state — typically partitioned into verified, contradicted, and uncertain claims with next actions — to keep working memory within budget without losing epistemic state.