Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
| Date | Stars |
|---|---|
| 2026-07-30 | 68878 |
| 2026-08-07 | 69677 |
| 2026-08-15 | 71700 |
| 2026-08-18 | 73430 |
| 2026-08-19 | 73723 |
| 2026-08-20 | 73999 |
| 2026-08-21 | 74188 |
| 2026-08-22 | 74351 |
| 2026-08-23 | 74464 |
| 2026-08-24 | 74577 |
| 2026-08-25 | 74664 |
| 2026-08-26 | 74818 |
| 2026-08-27 | 74944 |
| 2026-08-28 | 75027 |
| 2026-08-29 | 75119 |
| 2026-08-30 | 75223 |
| 2026-08-31 | 75324 |
| 2026-09-01 | 75414 |
| 2026-09-02 | 75475 |
| 2026-09-03 | 75544 |
| 2026-09-04 | 75595 |
| 2026-09-05 | 75652 |
| 2026-09-06 | 75702 |
| 2026-09-07 | 75749 |
| 2026-09-08 | 75810 |
| 2026-09-09 | 75926 |
| 2026-09-10 | 75975 |
| 2026-09-11 | 76016 |
| 2026-09-12 | 76056 |
| 2026-09-13 | 76089 |
| 2026-09-14 | 76144 |
| 2026-09-15 | 76193 |
| 2026-09-16 | 76224 |
| 2026-09-17 | 76285 |
| 2026-09-18 | 76356 |
| 2026-09-19 | 76417 |
| 2026-09-20 | 76467 |
| 2026-09-21 | 76527 |
| 2026-09-22 | 76566 |
| 2026-09-23 | 76616 |
| 2026-09-24 | 76688 |
| 2026-09-25 | 76747 |
| 2026-09-26 | 76810 |
| 2026-09-27 | 76854 |
| 2026-09-28 | 76895 |
| 2026-09-29 | 77009 |
| 2026-09-30 | 77076 |
| 2026-10-01 | 77106 |
| 2026-10-02 | 77139 |
| 2026-10-03 | 77158 |
| 2026-10-04 | 77187 |
| 2026-10-05 | 77210 |
| 2026-10-06 | 77262 |
| 2026-10-07 | 77295 |
| 2026-10-08 | 77460 |
| 2026-10-09 | 77587 |
| 2026-10-10 | 77690 |
| 2026-10-11 | 77756 |
| 2026-10-12 | 77854 |
| 2026-10-13 | 77926 |
| 2026-10-14 | 77990 |
| 2026-10-15 | 78043 |
| 2026-10-16 | 78103 |
| 2026-10-17 | 78160 |
| 2026-10-18 | 78211 |
| 2026-10-19 | 78247 |
| 2026-10-20 | 78303 |
| 2026-10-21 | 78354 |
| 2026-10-22 | 78408 |
| 2026-10-23 | 78462 |
| 2026-10-24 | 78498 |
| 2026-10-25 | 78540 |
| 2026-10-26 | 78581 |
| 2026-10-27 | 78617 |
| 2026-10-28 | 78667 |
| 2026-10-29 | 78743 |
| 2026-10-30 | 78793 |
| 2026-10-31 | 78849 |
| 2026-11-01 | 78904 |
| 2026-11-02 | 78950 |
| 2026-11-03 | 78998 |
| 2026-11-04 | 79044 |
Today
+46 stars today
This week
+377 stars this week
This month
+1.8k stars this month
Momentum
596.0
growth rate 0.48%/day
<h1 align="center" style="margin:0;">
<a href="https://unsloth.ai/docs"><picture>
<source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20logo%20white%20text.png">
<source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20logo%20black%20text.png">
<img alt="Unsloth logo" src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20logo%20black%20text.png" height="80" style="max-width:100%;">
</picture></a>
</h1>
<h3 align="center" style="margin: 0; margin-top: 0;">
Unsloth is the first desktop app to run and train models.
</h3>
<p align="center">
<a href="#-features">Features</a> •
<a href="#-get-started">Quickstart</a> •
<a href="#-free-notebooks">Notebooks</a> •
<a href="https://unsloth.ai/docs">Documentation</a>
</p>
<p align="center">
<a href="https://unsloth.ai/docs/desktop">
<img height="400" alt="unsloth desktop" src="https://unsloth.ai/cgi/image/unsloth_qwen3.8_final_ut2eqWnYJ-SLmu0s7x522.png?format=raw" />
</a>
</p>
## ⚡ Get started
Download the native Unsloth Desktop app for your operating system:
<table>
<tr>
<td><b>Platform</b></td>
<td><b>Link</b></td>
</tr>
<tr>
<td><b>Windows</b></td>
<td><a href='https://github.com/unslothai/unsloth/releases/latest/download/Unsloth-Desktop-Windows.exe'>Download</a></td>
</tr>
<tr>
<td><b>macOS</b></td>
<td><a href='https://github.com/unslothai/unsloth/releases/latest/download/Unsloth-Desktop-MacOS.dmg'>Download</a></td>
</tr>
<tr>
<td><b>Linux / Ubuntu (deb)</b></td>
<td><a href='https://github.com/unslothai/unsloth/releases/latest/download/Unsloth-Desktop-Ubuntu.deb'>Download</a></td>
</tr>
<tr>
<td><b>Linux / Ubuntu (ARM64) (deb)</b></td>
<td><a href='https://github.com/unslothai/unsloth/releases/latest/download/Unsloth-Desktop-Ubuntu-ARM64.deb'>Download</a></td>
</tr>
<tr>
<td><b>Linux (AppImage)</b></td>
<td><a href='https://github.com/unslothai/unsloth/releases/latest/download/Unsloth-Desktop-Linux.AppImage'>Download</a></td>
</tr>
<tr>
<td><b>Windows (ARM64)</b></td>
<td><a href='https://github.com/unslothai/unsloth/releases/latest/download/Unsloth-Desktop-Windows-ARM64.exe'>Download</a></td>
</tr>
</table>
Download from [Unsloth](https://unsloth.ai/download) or [GitHub Releases](https://github.com/unslothai/unsloth/releases).
Or if you prefer to install manually:
#### macOS, Linux, WSL:
```bash
curl -fsSL https://unsloth.ai/install.sh | sh
```
#### Windows:
```powershell
irm https://unsloth.ai/install.ps1 | iex
```
#### Docker:
The [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth) `unsloth/unsloth` is available on Docker. [Read guide.](https://unsloth.ai/docs/get-started/install/docker)
#### Homebrew:
```bash
brew install --cask unsloth
```
#### Winget (Windows):
```powershell
winget install --id UnslothAI.Unsloth -e
```
#### Community:
- [Discord](https://discord.gg/unsloth)
- [𝕏 (Twitter)](https://x.com/UnslothAI)
- [Reddit](https://reddit.com/r/unsloth)
## ⭐ Features
Unsloth works on **Windows, Linux, WSL** and **macOS**. We support **Multi GPU setups, NVIDIA, AMD, Intel GPUs, CPUs** and the **Vulkan** backend.
### Run & Build with AI
* Run and train LLMs, MLX, GGUF, diffusion, decision, embedding, audio models: [Qwen3.8](https://unsloth.ai/docs/models/qwen3.8), [GLM-5.3-Flash](https://unsloth.ai/docs/models/glm-5.3-flash), [Kimi K3](https://unsloth.ai/docs/models/kimi-k3), [Qwen-Image-2.1](https://unsloth.ai/docs/models/qwen-image-2.1), MiniMax-H3, [DeepSeek-V4](https://unsloth.ai/docs/models/deepseek-v4), [Gemma 4](https://unsloth.ai/docs/models/gemma-4).
* **Agents & Tools:** Use local models with [Claude Code](https://unsloth.ai/docs/basics/claude-code), [Codex](https://unsloth.ai/docs/basics/codex), and [MCP](https://unsloth.ai/docs/basics/mcp), including tool calExcerpt of 23,724 characters
Read on GitHub
Daniel Han · @unslothai · United States
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alkinun
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ff9bad446c2d780f, topic:llm, topic:llama, topic:mistral
matched fp:ff9bad446c2d780f, topic:text-to-speech, topic:tts, readme:text-to-speech