Enables AI agents to work with multiple local projects on Windows, providing file system access and PowerShell command execution, with project auto-detection and support for various dev tools.
Enables secure remote development on Windows by allowing LLM clients to manage files, run commands, and automate browsers within sandboxed workspaces, with multi-project switching and OAuth authentication.
Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.
Enables AI clients to control local Windows development tools by exposing project files, code search, file editing, test execution, Git operations, and resource viewing through a secure MCP interface with permission controls.
Enables AI clients to safely read, search, understand, and edit local project code and files, with Git inspection, code indexing, and controlled command execution within permissioned workspaces.
Enables AI agents to turn local projects into persistent workspaces, providing file editing, command execution, Git integration, and cross-session history management.