A new project called vLLM Launcher has been released as a Windows desktop application designed to manage local large language model inference through WSL2. This tool allows users to control multiple engine backends, including vLLM, SGLang, and llama.cpp, from a single graphical interface.

  • Multi-engine management for vLLM, SGLang, and llama.cpp via one desktop UI.
  • Local API gateway offering OpenAI-compatible and Anthropic-compatible endpoints.
  • Instance cards to start, stop, restart, and inspect model workflows.
  • Features include request logs, health checks, runtime metrics, and disk model discovery.
  • Floating mode for compact status monitoring while using other applications.

The tool bridges WSL engines to any OpenAI-compatible IDE, with the underlying tech stack built on Go, Wails, React, TypeScript, and Node.js. The first public release is available as a portable Windows executable.