A garbage collector for LLM context windows, written in Rust
Hi HN, Like many of you, I spend a lot of time coding with Codex and switching between cloud and local models. As a software engineer, something I never understood, and honestly hated—was `/compact` and the way it’s designed. On local models my GPU screams, and after a few hours prefill takes 2 to 3 minutes per turn. On cloud models, as the context grows, the model starts getting noticeably dumber. IMHO the root problem is context bloat and the fact that compaction destroys the quality of the mo
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points · 1 votes
2026-11-09 12:45:29.470Z
cumulative since publication
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Source account: Hi HN, Like many of you, I spend a lot of time coding with Codex and switching between cloud and local models. As a software engineer, something I never understood, and honestly hated—was `/compact` and the way it’s designed. On local models my GPU screams, and after a few hours prefill takes 2 to 3 minutes per turn. On cloud models, as the context grows, the model starts getting noticeably dumber. IMHO the root problem is context bloat and the fact that compaction destroys the quality of the mo
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Source votes: 1 votes (Nov 9, 2026 UTC; cumulative since publication); previous same-scope observation: 1 (Nov 9, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “[推广] [Sidrune AI 中转站双十一] 留 UID 送 3U｜抽奖 2000R，充值加赠最高$1000” (V2EX, Nov 9, 2026); “Automattic debuts a platform to deploy vibe-coding apps amid a changing internet” (TechCrunch, Nov 9, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
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This record has not been assigned a sufficiently supported main content category. No commercial or performance conclusion is generated.
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