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Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning
Long-running language-model systems accumulate interaction history that outgrows the context window, so they must continually evict. When an eviction policy drops a task-critical detail, for example an access token issued at login or a path the next call needs, the action fails. We present LRE (Lear
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