Self-Compacting Language Model Agents

Apple Machine Learning Research Version 1 original current

Imported from official source

Long agent traces composed of chains of thought and tool calls accumulate stale content that anchor subsequent generations, and eventually outgrow the context window. Existing scaffolds mitigate it with fixed-interval compaction triggered at a token threshold. Such triggers pay no heed to trajectory structure, risking discard of partial results mid-derivation or mid-search. …

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October 13, 2026 00:01
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106760c1c46fd64f00337abe940c2e74
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