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Wednesday, September 23, 2026 · UTC
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Three GitHub repositories add 5,042 stars in a single day

browser-use/jev-ultrafast climbed 2,736 stars to 17,842 on Sept. 22, 2026, with two other repositories rising the same day, GitHub data shows.

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GitHub repositories surge in popularity overnight
GitHub repositories surge in popularity overnight AI illustrationhow this picture was made
Three GitHub repositories each added stars on Sept. 22, 2026, and the day's largest climb was on browser-use/jev-ultrafast, a Python web agent described as the fastest and cheapest such agent available, which rose 2,736 stars to 17,842 from 15,106 on Sept. 21, according to GitHub[2]. mizorewww/laya-mlx, a Python native MLX runtime for Laya typed decision models, reached 5,242 stars from 3,315 the previous day, a gain of 1,927[3]. tamaratran/fast-jev-compaction, a TypeScript Claude Code plugin, rose 379 stars, to 6,265 from 5,886[1]. By this paper's arithmetic, the three repositories together added 5,042 stars in the day, a combined move that exceeds the entire count laya-mlx carried a day earlier.
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What this stands on
  1. tamaratran/fast-jev-compaction stars: 6,265 stars, TypeScript: Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or as of 2026-09-22 (was 5,886 on 2026-09-21). · DRM3 GitHub activity the fact record
  2. browser-use/jev-ultrafast stars: 17,842 stars, Python: Fastest and cheapest web agent as of 2026-09-22 (was 15,106 on 2026-09-21). · DRM3 GitHub activity the fact record
  3. mizorewww/laya-mlx stars: 5,242 stars, Python: Native MLX runtime for Laya typed decision models - 7-14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API. [apple-silicon, decision-model, inference, laya, local-ai, machine-learning, mlx, modernbert, system-one, typed-decisions] as of 2026-09-22 (was 3,315 on 2026-09-21). · DRM3 GitHub activity the fact record
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