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setlsResearch framework for autonomous reasoning and AI security
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HacxGPT is an experimental adversarial AI framework designed for researchers investigating autonomous reasoning, prompt security, and model resilience. It provides a controlled environment to simulate unrestricted LLM behavior, benefiting security analysts and AI researchers by offering a platform for testing model vulnerabilities and adaptive prompt strategies.
How It Works
This framework is inspired by WormGPT's architecture, featuring an adaptive prompt layer that dynamically adjusts context and control logic. It integrates with external LLM providers like OpenRouter and DeepSeek via modular API connectors, allowing for the emulation of advanced, potentially unrestricted AI behaviors within defined ethical and technical boundaries. The system is optimized for safe experimentation and analysis of LLM responses.
Quick Start & Requirements
pip install -r requirements.txt followed by python HacxGPT.py.install.bat). API key is configured on first launch or via HacxGPT.py.Highlighted Details
Maintenance & Community
No specific details regarding contributors, community channels (like Discord/Slack), or roadmaps are provided in the README.
Licensing & Compatibility
Distributed under the MIT LICENSE. This license permits commercial use and integration into closed-source projects, with standard attribution requirements.
Limitations & Caveats
The project is described as "highly experimental" and a "demonstration framework." The full, fine-tuned HacxGPT model remains private and is not part of this open-source release. The framework is explicitly optimized and designed for Windows systems, lacking cross-platform support.
1 day ago
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SalesforceAIResearch
openlit