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.