Workload-aware memory retention for reusable Go byte buffers, with size-aware reuse, explicit bounds, ownership accounting, and adaptive control.
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Updated
May 13, 2026 - Go
Workload-aware memory retention for reusable Go byte buffers, with size-aware reuse, explicit bounds, ownership accounting, and adaptive control.
Theory-to-experiment lab for search stability in long-running agents under finite context, with exact simulator tests and lightweight mechanistic probe tasks.
Concurrent bounded-memory Go tool for grouping anagrams across large file collections.
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