Provides a lightweight CLI to manage and track Python environments, simplifying development across multiple projects.
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Zen offers a single directory and CLI to efficiently manage all your Python environments, eliminating clutter and providing clarity. It tracks essential details like Python versions, installed packages, CUDA stacks, and health status, making it particularly useful for ML development where specific CUDA versions and dependencies are critical. Designed to be lightweight and fast, Zen integrates with `uv` for package operations and supports AI coding agents via a built-in MCP server, remembering complex environment configurations so developers don't have to.
Key Features
01Unified management and tracking of all Python virtual environments.
02Automatic tracking of Python versions, installed packages, and CUDA configurations.
03Built-in MCP server for programmatic environment management by AI agents.
04Fast package operations leveraging the `uv` tool for speed.
05Intelligent project-environment linking for automatic activation.
060 GitHub stars
Use Cases
01Simplifying the management of numerous Python environments, particularly in machine learning contexts involving specific CUDA versions.
02Enabling AI coding agents to programmatically manage and interact with Python environments through a structured API.
03Maintaining an organized and easily searchable overview of installed packages and environment health across multiple projects.
