inclusionAI/AReno has 381 stars and gained +1 of them in the today, a 0.3% change. It is written in Python, grouped under ai-models, ai-agents, released under Apache-2.0. Last pushed on 27 Oct 2026.
Star growth per time window: stars gained, growth percentage, the star count at the start of the period, and whether the figure was measured from our own two-hour intraday snapshots, daily snapshots, or GitHub’s rebuilt star history, for the last 6 hours, the last 12 hours, today, the last 7 days, the last 30 days, and the last year. A period with no current measurement is left blank rather than shown as zero.
Period
Stars gained
Growth
From
Measured
Last 6 hours
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Last 12 hours
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Today
+1
0.3%
380 on 26 Oct 2026
Daily snapshots
Last 7 days
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Last measured 25 Oct 2026
Last 30 days
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Not measured
Last year
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Not measured
A period with no current measurement is left blank: a delta needs a measurement at both ends of the period. The 6- and 12-hour periods need two intraday measurements exactly that far apart, the day-and-longer periods need snapshots on both dates, and the last year also needs star history from a year ago, which we keep for one year.
Copy either snippet into the repository's README. The badge shows total stars and the gain over the last 7d (the same window as the one below) and is hotlinked directly, with no account or token.
<a href="https://bestofgit-blue.vercel.app/projects/inclusionAI/AReno">
<img src="https://bestofgit-blue.vercel.app/badge/inclusionAI/AReno.svg?window=7d"
alt="Star and growth badge for inclusionAI/AReno on BestOfGit" />
</a>
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译,支持 Google/DeepL/Ollama/OpenAI 等服务,提供 CLI/GUI/MCP/Docker/Zotero
WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.
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Star history
Weekly, from GitHub's stargazers history, over a 30-day window.
Shares topics with
Repositories that share at least two topics with this one: most shared topics first, then stars gained in the last 24 hours.
The all-in-one local AI studio for your desktop: chat, image and video generation and a coding agent in one free, open source app. Windows and Linux. No Docker, no terminal, no cloud required.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
Shared: agent, agentic-ai, grpo, reinforcement-learning +1 more
Stars: 323 when it entered our index, 380 on the last capture we hold (24 Oct 2026), so +57 in that span. That span is our own measurement window, not a claim about what happened before it.
It has never shown up on GitHub Trending while we were watching, so there is no arrival to compare against.
Where it stands
Every position is against the 41,507 repositories measured today — not global GitHub figures.