Building an Easy Private AI Assistant with Goose and Docker Model Runner
SMRTR summary
Docker Model Runner and Goose CLI create a powerful local AI assistant for developers, allowing open-source AI models to run on-machine without cloud dependencies. This setup maintains privacy and flexibility. Users can install Goose, configure it with Docker Model Runner, and gain a scriptable AI assistant for task automation, code execution, and system interaction. The process involves enabling Docker Model Runner, pulling models, and configuring Goose. This solution offers a private, efficient way to enhance developer workflows and automate tasks.
SMRTR provides this summary for quick context. The original article belongs to Docker Engineering.
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