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.
| Date | Stars |
|---|---|
| 2026-07-31 | 2296 |
| 2026-08-01 | 2293 |
| 2026-08-06 | 2293 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center">
<picture>
<img src="figures/kimi-logo.png" width="30%" alt="Kimi K2.5">
</picture>
</div>
<hr>
<div align="center" style="line-height:1">
<a href="https://www.kimi.com" target="_blank"><img alt="Chat" src="https://img.shields.io/badge/🤖%20Chat-Kimi%20K2.5-ff6b6b?color=1783ff&logoColor=white"/></a>
<a href="https://www.moonshot.ai" target="_blank"><img alt="Homepage" src="https://img.shields.io/badge/Homepage-Moonshot%20AI-white?logo=Kimi&logoColor=white"/></a>
</div>
<div align="center" style="line-height: 1;">
<a href="https://huggingface.co/moonshotai" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Moonshot%20AI-ffc107?color=ffc107&logoColor=white"/></a>
<a href="https://twitter.com/kimi_moonshot" target="_blank"><img alt="Twitter Follow" src="https://img.shields.io/badge/Twitter-Kimi.ai-white?logo=x&logoColor=white"/></a>
<a href="https://discord.gg/TYU2fdJykW" target="_blank"><img alt="Discord" src="https://img.shields.io/badge/Discord-Kimi.ai-white?logo=discord&logoColor=white"/></a>
</div>
<div align="center" style="line-height: 1;">
<a href="LICENSE"><img alt="License" src="https://img.shields.io/badge/License-Modified_MIT-f5de53?&color=f5de53"/></a>
</div>
<p align="center">
<b>📰 <a href="https://www.kimi.com/blog/kimi-k2-5.html">Tech Blog</a></b> | <b>📄 <a href="tech_report.pdf">Full Report</a></b>
</p>
## 1. Model Introduction
Kimi K2.5 is an open-source, native multimodal agentic model built through continual pretraining on approximately 15 trillion mixed visual and text tokens atop Kimi-K2-Base. It seamlessly integrates vision and language understanding with advanced agentic capabilities, instant and thinking modes, as well as conversational and agentic paradigms.
### Key Features
- **Native Multimodality**: Pre-trained on vision–language tokens, K2.5 excels in visual knowledge, cross-modal reasoning, and agentic tool use grounded in visual inputs.
- **Coding with Vision**: K2.5 generates code from visual specifications (UI designs, video workflows) and autonomously orchestrates tools for visual data processing.
- **Agent Swarm**: K2.5 transitions from single-agent scaling to a self-directed, coordinated swarm-like execution scheme. It decomposes complex tasks into parallel sub-tasks executed by dynamically instantiated, domain-specific agents.
## 2. Model Summary
<div align="center">
| | |
|:---:|:---:|
| **Architecture** | Mixture-of-Experts (MoE) |
| **Total Parameters** | 1T |
| **Activated Parameters** | 32B |
| **Number of Layers** (Dense layer included) | 61 |
| **Number of Dense Layers** | 1 |
| **Attention Hidden Dimension** | 7168 |
| **MoE Hidden Dimension** (per Expert) | 2048 |
| **Number of Attention Heads** | 64 |
| **Number of Experts** | 384 |
| **Selected Experts per Token** | 8 |
| **Number of Shared Experts** | 1 |
| **Vocabulary Size** | 160K |
| **Context Length** | 256K |
| **Attention Mechanism** | MLA |
| **Activation Function** | SwiGLU |
| **Vision Encoder** | MoonViT |
| **Parameters of Vision Encoder** | 400M |
</div>
## 3. Evaluation Results
<div align="center">
<table>
<thead>
<tr>
<th align="center">Benchmark</th>
<th align="center"><sup>Kimi K2.5<br><sup>(Thinking)</sup></sup></th>
<th align="center"><sup>GPT-5.2 <br><sup>(xhigh)</sup></sup></th>
<th align="center"><sup>Claude 4.5 Opus <br><sup>(Extended Thinking)</sup></sup></th>
<th align="center"><sup>Gemini 3 Pro <br><sup>(High Thinking Level)</sup></sup></th>
<th align="center"><sup>DeepSeek V3.2 <br><sup>(Thinking)</sup></sup></th>
<th align="center"><sup>Qwen3-VL-<br>235B-A22B-<br>Thinking</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="center" colspan=8><strong>Reasoning & Knowledge</strong></td>
</tr>
<tr>
<td align="center" style="vertical-align: middle">HLE-Full</td>
<td align="center" style="vertical-align: middle">30.1</td>
<td align="center" style="vertical-Excerpt of 33,931 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8cdeeccd6cf3ec80, desc:agentic
