ACGC (Agent Context Garbage Collector) is a lightweight sidecar for agentic AI systems. It dynamically selects, compresses, and retrieves relevant context within a fixed token budget using a memory DAG, semantic recall, and archival retrieval. Evaluations show 46–82% lower token usage while maintaining or improving quality—making agents cheaper, faster, and more memory-efficient without major application changes.