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Ultra-lightweight personal AI assistant. 99% smaller than OpenClaw at ~4K lines of Python. MCP-based architecture with pluggable servers. Built for people who want a simple, hackable AI companion.
Ensure you have Python 3.11 or newer installed.
# Ubuntu/Debian
sudo apt update && sudo apt install python3 python3-pip python3-venv
# macOS
brew install python@3.11Download the Nanobot source code.
git clone https://github.com/HKUDS/nanobot.git
cd nanobotCreate and activate an isolated Python environment.
python3 -m venv venv
source venv/bin/activateInstall all required Python packages.
pip install -r requirements.txtConfigure your environment variables and start Nanobot.
cp .env.example .env
# Edit .env with your settings
python -m nanobotTime from process start to first response
Average response time after startup
Python runtime uses ~200MB. 8GB leaves plenty for the OS and MCP servers.
Use an NVMe SSD instead of microSD for much better I/O performance.
Add a heatsink or active cooling to prevent thermal throttling under load.
Configure swap on a fast storage device for extra memory headroom.
Use a quality USB-C power supply rated for the board's requirements.