🛰️ Spacelith Edge AI SDK

Turn standard PyTorch & YOLO models into space-grade, radiation-tolerant edge binaries in 2 lines of code.

spacelith is an edge AI compilation, quantization, and fault-tolerance toolkit designed for tactical UAVs, defense payloads, and Low Earth Orbit (LEO) satellites. It bridges the gap between terrestrial AI development and harsh orbital environments.

⚡ Key Features

• 🚀 2-Line Space Deployment: Effortlessly compile PyTorch (.pt) and ONNX models into .spacelith execution bundles.
• ⚡ High-Density INT8 Quantization: 3x inference acceleration and >50% power reduction for COTS accelerators (NVIDIA Jetson / ARM64).
• 🛡️ Autonomous SEU Healing: Built-in radiation checksum manifests (CRC32/SHA-256) and autonomous weight-reloading (<50 ms) to survive cosmic ray bit-flips in orbit.
• 📡 99% Downlink Bandwidth Reduction: Integrated cloud-cover and blank-frame pruning with standard CCSDS 133.0-B-2 packet framing for immediate tactical alerting.
• 🎯 Dual-Use Architecture: Validated for both tactical defense UAVs (GNSS-denied/EW environments) and LEO SmallSats (550 km SSO).

📦 Installation

# Clone the repository
git clone [https://github.com/spacelith-aeronauts/spacelith-sdk.git](https://github.com/spacelith-aeronauts/spacelith-sdk.git)
cd spacelith-sdk

# Install in editable mode
pip install -e .