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Context Engineering | Compaction & Agent Memory for Automated Malware Analysis

·Source: SentinelLabs

Updated:

Executive Summary

Compaction cut input tokens 86% across long-running agent evals with no quality loss. Context discipline matters as much as model selection.

Analysis

Compaction cut input tokens 86% across long-running agent evals with no quality loss. Context discipline matters as much as model selection.
Source Attribution

Originally published by SentinelLabs on Jul 2, 2026.

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