Self-Compacting Language Model Agents

Published 17 October 2026

A model-invoked compaction tool and lightweight timing rubric help agents summarize context when tasks resolve or trajectories converge. Across six math and agentic-search benchmarks, SELFCOMPACT matches or exceeds fixed-interval summarization while reducing per-question token costs by 30–70%.