Context Distillation for Agents (EXPLAINED)
Compress agent memory into durable distilled state while preserving goals, constraints, and tool outcomes.
TL;DR — Quick Answer
Context distillation periodically converts verbose agent history into compact structured state — goals, facts, decisions, open tasks — that replaces raw logs in the prompt. It preserves task continuity while slashing tokens, but must be eval-gated so safety rules and negated constraints are not dropped.
The Interview Question
What is context distillation for agents, and how does it keep long-running sessions within budget?
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DistillationAgentsMemoryCompressionAnthropicOpenAI