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.
It's not AI that takes away your job, but the people who master the use of AI tools. The most deadly attack is a dimension-reducing strike: destroying you has nothing to do with you - from "The Three-Body Problem". 中文说明： 抢走你工作的不是AI，而是掌握使用AI工具的人。 降维打击最为致命：毁灭你，与你何干《三体》
| Date | Stars |
|---|---|
| 2026-07-24 | 1371 |
| 2026-07-25 | 1371 |
| 2026-07-28 | 1371 |
| 2026-07-30 | 1371 |
| 2026-08-06 | 1371 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
<img src="./public/assets/img/logo.png" alt="Hello-AI Logo" width="120" height="120" />
<h1>Hello-AI</h1>
<p>An intelligent, auto-updating directory of high-quality open-source projects.</p>
</div>
<div align="center">
[](https://hello-ai.anzz.top)
[](./LICENSE)
[](https://github.com/xxxily/hello-ai)
[](https://nodejs.org/)
</div>
<div align="center">
English | <b><a href="./README-zh.md">中文文档</a></b>
</div>
---
<!-- STATS_START -->
## 📊 Project Statistics
*Summary of high-quality open-source AI projects collected from the internet:*
- 📁 **Total Collected**: 21228 projects
- ⚡ **Active Shown**: 10655 projects (updated within the last 6 months)
- 🏷️ **Categories (Active / Total)**:
- 🔥 Trending: 30 / 30
- 🧠 Foundation Models: 151 / 598
- 🤖 Agents & Orchestration: 1782 / 2187
- 🔍 RAG & Data Engineering: 479 / 737
- ☁️ Infrastructure & Deployment: 1040 / 1672
- 🔧 Fine-tuning & Training: 385 / 965
- 👁️ Multimodal (Audio/Video): 893 / 2963
- 🛠️ Developer Tools & SDKs: 2379 / 3817
- 🎨 AI Applications: 1074 / 1845
- 📚 Learning Resources: 1356 / 4416
- 💻 Desktop & OS Apps: 400 / 515
- 🦾 Robotics & IoT: 505 / 1137
- 💼 Business & Finance: 237 / 423
- 📅 **Last Updated**: 2026-07-18
<!-- STATS_END -->
## Overview
**Hello-AI** is an **intelligent, AI-driven navigation hub for open-source AI projects.**
In an era of rapid AI evolution, developers often face "information overload" when navigating the vast sea of GitHub repositories. Hello-AI leverages **AI Agent automation** to discover, evaluate, and organize the most high-quality AI resources from the global open-source community.
### ✨ Key Features
- 🤖 **Autonomous Smart Maintenance**: Unlike traditional link directories maintained manually, Hello-AI uses AI agents for 24/7 autonomous project discovery, quality assessment, and categorization. It's "AI discovering AI."
- 🗺️ **Evolutionary Landscape Map**: Deep coverage across foundational models, Agent frameworks, RAG, infrastructure, multimodal apps, and dev tools—organized precisely and intuitively.
- 🔄 **Dynamic Activity Tracking**: The system automatically purges stale projects and dynamically updates Star counts and health status, ensuring you only see the most relevant and active repositories.
- ⚡ **Instant Value Insights**: AI automatically generates concise summaries and use-cases for every repository, allowing you to bypass manual research and identify the right tools in seconds.
This is your shortcut to exploring the boundaries of AI and finding the ultimate productivity tools.
## 🏗️ Architecture & Execution Logic
This project operates entirely through the collaboration of automated scripts and Large Language Models. Below is a visual flowchart demonstrating the complete data lifecycle—from discovery to frontend rendering:
```mermaid
graph TD
classDef default fill:#f9f9f9,stroke:#e0e0e0,stroke-width:1px;
classDef database fill:#e1f5fe,stroke:#4fc3f7,stroke-width:2px;
classDef ai fill:#fff3e0,stroke:#ffb74d,stroke-width:2px;
classDef process fill:#e8f5e9,stroke:#81c784,stroke-width:2px;
subgraph Discovery [1. Auto-Evolving Discovery Layer]
T[(topics.json<br/>Knowledge Pool)]:::database -->|Provide un-explored topics| Fetch[GitHub Crawl Script]:::process
Fetch -.->|Inject newly found topics| T
Fetch -->|Enqueue High-Star Projects| Q[(pending-projects.json<br/>Queue)]:::database
end
subgraph Evaluation [2. AI Batch Evaluation Layer]
Q -->|Pop N Batch Projects| P[Combined AI Prompt]:::process
DB[(projects.json<br/>Core Database)]:::database -.->|Inject dynamic categExcerpt of 13,953 characters
Read on GitHub
194
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:0a8ba85daff79a95, topic:stable-diffusion
matched fp:0a8ba85daff79a95, topic:chatgpt