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Kasetto

Declarative AI Agent Environment Manager written in Rust

Kasetto offers a declarative approach to managing your operational environments for language models, similar to how dependency managers operate for software projects. Key capabilities include: * Define skills and server configurations in a single YAML file * Version control environments using Git * Ensure identical environments across all machines with `kst sync` * Support for global and project-specific configurations with `extends` * Streamlined onboarding for new team members This system replaces manual setup scripts with a unified configuration, allowing you to define your operational skills and server setups once. Configs can be composed, letting you layer personal settings on top of shared team bases, ensuring consistency and preventing drift across all configurations. It integrates seamlessly with popular Git providers like GitHub, GitLab, and Bitbucket, facilitating private and enterprise repository usage. Built for engineering teams and developers working with various language model agents, Kasetto ensures that all agents, such as Claude Code, Cursor, and Copilot, receive consistent updates from a single source. This eliminates the need to maintain separate configurations for each tool, enabling a full synchronization across multiple agents in seconds. Made with Rust, it prioritizes speed and reproducibility, guaranteeing that every machine operates with the exact same environment, from local setups to CI pipelines.
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