AIOS is an experimental project that aims to bridge Assembly language with high-level operations using AI models for translation and execution. The system provides real-time visualization and interaction with assembly code execution through QEMU.
- Memory Management Operations
- ✅ Memory allocation (
alloc) - ✅ Memory deallocation (
dealloc) - ✅ Memory information retrieval (
meminfo) - ✅ Memory copying (
memcopy)
- ✅ Memory allocation (
- System Integration
- ✅ QEMU execution support
- ✅ Enhanced command processing
- Core Functionality
- ✅ Assembly to binary/hex translation
- ✅ Enhanced command processing
- ✅ Training LLM integration
- ✅ Environment LLM integration
- Learning System
- ✅ Reinforcement learning rewards
- ✅ Feedback loop implementation
- ✅ Model state tracking
- Model State View (model_state_view.py)
- ✅ Real-time operation monitoring
- ✅ Color-coded response display
- ✅ Command execution history
- ✅ State information panel
- ✅ Export functionality
- Main Interface (aios_gui.py)
- ✅ Code editor integration
- ✅ QEMU panel
- ✅ Training panel
- ✅ Chat interface
- ✅ Session management
- ✅ Memory operations test suite (test_aios_memory.py)
- ✅ Basic command execution tests
- ✅ State tracking validation
- Process management system
- Inter-process communication
- Hardware abstraction layer
- Extended interrupt handling
- Multi-architecture support
- Dynamic optimization
- Code pattern recognition
- Automated error recovery
- Performance profiling
- Security analysis
- Performance monitoring dashboard
- Resource usage visualization
- Multi-session comparison
- Custom theme support
- Keyboard shortcut customization
- Plugin system
- Automated regression testing
- Performance benchmarking
- Security testing suite
- Cross-platform validation
- Stress testing framework
- Python 3.12.x
- QEMU
- PyQt6
- Required Python packages (see requirements.txt)
- Clone the repository
- Install dependencies
- Configure environment settings
- Run the application
python aios_gui.pyContributions are welcome! Please read the contributing guidelines before submitting pull requests.
This project is licensed under the MIT License - see the LICENSE file for details.
- Thanks to all contributors
- Special thanks to the QEMU and PyQt communities
🚧 Under active development