Stands on 3 first-party readings of the GitHub activity record, not reporting.
GitHub repositories surge in popularity overnight AI illustrationhow this picture was madeThree 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.Tres repositorios de GitHub sumaron estrellas el 22 de septiembre de 2026, y el mayor ascenso del día fue en browser-use/jev-ultrafast, un agente web de Python descrito como el más rápido y barato de su tipo disponible, que subió 2,736 estrellas hasta 17,842 desde 15,106 el 21 de septiembre, según GitHub[2].
mizorewww/laya-mlx, un runtime nativo de MLX en Python para modelos de decisión tipados Laya, alcanzó 5,242 estrellas desde 3,315 el día anterior, un incremento de 1,927[3]. tamaratran/fast-jev-compaction, un plugin de TypeScript para Claude Code, subió 379 estrellas, hasta 6,265 desde 5,886[1].
Según el cálculo de este artículo, los tres repositorios juntos sumaron 5,042 estrellas en el día, un movimiento combinado que supera el total que laya-mlx tenía un día antes.
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What this stands on
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↗
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↗
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↗
Read directly from the GitHub activity record, not from anyone's report of it.