CAI PRO release, v1

Signed-off-by: Víctor Mayoral Vilches <v.mayoralv@gmail.com>
This commit is contained in:
Víctor Mayoral Vilches 2025-10-14 07:27:23 +00:00
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</div>
<!-- CAI PRO - Professional Edition Banner -->
<div align="center">
<table style="border-collapse: collapse; width: 100%; max-width: 900px;">
<tr>
<td align="center" width="50%" style="padding: 20px; border: 2px solid #e1e4e8; border-radius: 10px 0 0 10px; background: linear-gradient(135deg, #f6f8fa 0%, #ffffff 100%);">
<img src="https://img.shields.io/badge/OPEN%20SOURCE-CAI-28a745?style=for-the-badge&logo=github&logoColor=white" alt="Open Source CAI" style="margin-bottom: 10px;"><br>
<h3>🔓 Community Edition</h3>
<sub><b>Research & Learning</b></sub><br><br>
<code style="background: #f6f8fa; padding: 8px 16px; border-radius: 6px; font-size: 14px;">pip install cai-framework</code><br><br>
<div align="left" style="margin: 10px auto; max-width: 200px;">
<b>Free</b> for research<br>
🤖 <b>300+</b> AI models<br>
🌍 <b>Community</b> driven<br>
📚 <b>Open</b> source<br>
🔧 <b>Extensible</b> framework<br>
</div>
<br>
<img src="https://img.shields.io/badge/Perfect%20for-Researchers%20%26%20Students-blue?style=flat-square" alt="Perfect for">
</td>
<td align="center" width="50%" style="padding: 20px; border: 2px solid #ff6b6b; border-radius: 0 10px 10px 0; background: linear-gradient(135deg, #fff5f5 0%, #ffffff 100%); position: relative;">
<div style="position: absolute; top: 5px; right: 10px;">
<img src="https://img.shields.io/badge/NEW-2025-ff6b6b?style=flat&labelColor=333333" alt="New">
</div>
<a href="https://aliasrobotics.com/cybersecurityai.php">
<img src="https://img.shields.io/badge/PROFESSIONAL-CAI%20PRO-ff6b6b?style=for-the-badge&logo=rocket&logoColor=white" alt="CAI PRO">
</a><br>
<h3>🚀 <a href="https://aliasrobotics.com/cybersecurityai.php" style="text-decoration: none; color: inherit;">Professional Edition</a></h3>
<sub><b>Enterprise & Production</b></sub><br><br>
<a href="https://aliasrobotics.com/cybersecurityai.php">
<code style="background: linear-gradient(135deg, #ff6b6b 0%, #ff8e53 100%); color: white; padding: 8px 16px; border-radius: 6px; font-size: 14px; font-weight: bold;">→ Upgrade to PRO</code>
</a><br><br>
<div align="left" style="margin: 10px auto; max-width: 280px;">
<b><a href="https://aliasrobotics.com/alias1.php#benchmarking">alias1</a></b> model - ∞ unlimited tokens<br>
🚫 <b>Zero refusals</b> - Unrestricted AI<br>
🏆 <b>Beats GPT-5</b> in CTF benchmarks<br>
🛡️ <b>Professional</b> support included<br>
🇪🇺 <b>European</b> data sovereignty<br>
</div>
<br>
<img src="https://img.shields.io/badge/€350%2Fmonth-Unlimited%20Tokens-success?style=flat-square" alt="Pricing">
</td>
</tr>
<tr>
<td colspan="2" align="center" style="padding: 10px; background: #f6f8fa;">
<sub>
<a href="https://aliasrobotics.com/cybersecurityai.php">
<img src="https://aliasrobotics.com/img/ad_alias1_vs_gpt5_v2.png" alt="alias1 vs GPT-5 Benchmark" style="max-width: 600px; width: 100%; border-radius: 8px; margin-top: 10px;">
</a><br>
<i>CAI PRO's alias1 model outperforms GPT-5 in cybersecurity benchmarks</i> | <a href="https://aliasrobotics.com/alias1.php#benchmarking">View Full Benchmarks →</a>
</sub>
</td>
</tr>
</table>
</div>
Cybersecurity AI (CAI) is a lightweight, open-source framework that empowers security professionals to build and deploy AI-powered offensive and defensive automation. CAI is the *de facto* framework for AI Security, already used by thousands of individual users and hundreds of organizations. Whether you're a security researcher, ethical hacker, IT professional, or organization looking to enhance your security posture, CAI provides the building blocks to create specialized AI agents that can assist with mitigation, vulnerability discovery, exploitation, and security assessment.
**Key Features:**
@ -1130,6 +1187,7 @@ If you want to cite our work, please use the following:
}
```
## Acknowledgements
CAI was initially developed by [Alias Robotics](https://aliasrobotics.com) and co-funded by the European EIC accelerator project RIS (GA 101161136) - HORIZON-EIC-2023-ACCELERATOR-01 call. The original agentic principles are inspired from OpenAI's [`swarm`](https://github.com/openai/swarm) library and translated into newer prototypes. This project also makes use of other relevant open source building blocks including [`LiteLLM`](https://github.com/BerriAI/litellm), and [`phoenix`](https://github.com/Arize-ai/phoenix)