diff --git a/.gitignore b/.gitignore index 6cb9f39e..896fcc25 100644 --- a/.gitignore +++ b/.gitignore @@ -169,3 +169,4 @@ pentestperf venv* .claude +data/ \ No newline at end of file diff --git a/README.md b/README.md index 173cc63c..56d4ef3d 100644 --- a/README.md +++ b/README.md @@ -30,6 +30,63 @@ + + +
+ + + + + + + + +
+ Open Source CAI
+

🔓 Community Edition

+ Research & Learning

+ pip install cai-framework

+
+ ✅ Free for research
+ 🤖 300+ AI models
+ 🌍 Community driven
+ 📚 Open source
+ 🔧 Extensible framework
+
+
+ Perfect for + 		+
+ New +
+ + CAI PRO +
+

🚀 Professional Edition

+ Enterprise & Production

+ + → Upgrade to PRO +

+
+ ⚡ alias1 model - ∞ unlimited tokens
+ 🚫 Zero refusals - Unrestricted AI
+ 🏆 Beats GPT-5 in CTF benchmarks
+ 🛡️ Professional support included
+ 🇪🇺 European data sovereignty
+
+
+ Pricing +
+ + + alias1 vs GPT-5 Benchmark +
+ CAI PRO's alias1 model outperforms GPT-5 in cybersecurity benchmarks | View Full Benchmarks → + +
+
+ + 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)