AI Agent Hub
Back to plugins
🖥️

dsh-python-env

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install AngelosZou/dsh-python-env

Paste the following prompt into your AI chat to install this plugin:

In DeepSeek Harness, install this plugin from the GitHub address https://github.com/AngelosZou/dsh-python-env using the command 'dsh plugin install AngelosZou/dsh-python-env'.

About this plugin

In DeepSeek Harness projects, managing Python virtual environments often encounters hurdles due to sandbox restrictions and network issues, causing failures in venv creation and pip installations. The dsh-python-env plugin addresses these pain points head-on. By executing standard Python tools via the platform subprocess channel in the host process, it bypasses sandbox constraints, ensuring smooth operations like venv setup and package installation.

The plugin's core strength lies in its five intuitive model tools: discover, create, install, uninstall, and remove environments. It enforces workspace confinement, keeping all actions within the project directory, and offers cross-platform compatibility. A built-in mirror fallback mechanism automatically tries multiple PyPI mirrors during network instability, boosting installation success. Entirely reliant on Python's standard library, it requires no third-party dependencies, maintaining simplicity and lightweight design.

For AI agents or developers, dsh-python-env is an ideal solution for Python virtual environment management in DeepSeek Harness. It excels in scenarios requiring reliable package management within restricted sandboxes, delivering a secure and efficient experience that lets users focus on their projects rather than environment setup.

Use Cases

  • Creating and managing Python virtual environments in DeepSeek Harness projects.
  • Safely installing Python packages via subprocess channel, bypassing sandbox and network restrictions.
  • Handling venv creation, pip installation, and environment cleanup across platforms.

Best For

  • AI agent developers needing to manage Python environments in restricted sandboxes.
  • Software engineers and developers using DeepSeek Harness.
  • Teams maintaining Python projects that rely on virtual environment management.