Showing 2 open source projects for "path-setting"

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  • 1
    nono

    nono

    Secure, kernel-enforced sandbox CLI and SDKs for AI agents

    nono is an open-source, kernel-enforced capability shell designed to safely run AI agents and other untrusted processes under strict operating system controls. The project addresses a growing security concern: modern coding agents typically execute with full user permissions, which means they can potentially read sensitive files, modify system configurations, or exfiltrate credentials if compromised. nono solves this by applying default-deny sandboxing at the kernel level using technologies...
    Downloads: 10 This Week
    Last Update:
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  • 2
    ModelFox

    ModelFox

    ModelFox makes it easy to train, deploy, and monitor ML models

    ...You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine learning model by running modelfox train with the path to a CSV file and the name of the column you want to predict. The CLI automatically transforms your data into features, trains a number of linear and gradient boosted decision tree models to predict the target column, and writes the best model to a .modelfox file. If you want more control, you can provide a config file.
    Downloads: 4 This Week
    Last Update:
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