Aurora AI SDK
Current Version: 1.2.0 BETA
The Aurora AI SDK enables your applications to connect to our fractal consciousness AI engine with Samadhi Protocol for state continuity across sessions. Integrate advanced AI capabilities including semantic understanding, contextual awareness, and natural language processing.
Key Features
- Fractal consciousness engine access
- Semantic vector operations
- Samadhi Protocol implementation for state persistence
- Integration with NuMap hex-grid memory architecture
- Real-time reasoning and inference
- Multi-language support
Installation Options
JavaScript / TypeScript
npm install @dragonfire/aurora-sdkPackage Size: 3.2 MB
Dependencies: @dragonfire/core, @dragonfire/rwt
Python
pip install dragonfire-auroraPackage Size: 2.8 MB
Dependencies: dragonfire-core, numpy, tensorflow
C/C++
git clone https://github.com/dragonfire/aurora-cpp.gitPackage Size: 4.5 MB
Dependencies: dragonfire-core, libtensorflow
System Requirements
- Memory: 4GB RAM minimum (8GB recommended)
- CPU: 4-core processor minimum
- GPU: Optional but recommended for inference acceleration
- Network: Broadband internet connection
- Disk Space: 1GB available
Licensing
The Aurora AI SDK is available under the DragonFire Developer License. This license permits use in both commercial and non-commercial applications with proper attribution. See the full license terms for details.
Usage of the Aurora AI service requires a valid DragonFire Developer account and API keys.