lmstudio-ai/lms
LM Studio CLI
What it solves
It provides a command-line interface (CLI) for managing LM Studio, allowing users to control the local AI model server and model lifecycle without needing the graphical user interface.
How it works
The lms tool acts as a controller for the LM Studio application. It allows users to start and stop the local API server, list downloaded models, load and unload specific models into memory for inference, and stream logs for debugging.
Who it’s for
Developers and power users who prefer terminal-based workflows or need to automate the management of local LLMs via scripts.
Highlights
- Server Control: Quickly start or stop the local API server.
- Model Management: Load, unload, and list models with options for maximum GPU acceleration.
- Model Visibility: Check which models are currently loaded and available for inferencing.
- SDK Integration: Create new projects using the LM Studio SDK.
Related
- Project
sybil-solutions/local-studioLocal Studio is an open‑source macOS/desktop app that lets you run, manage, and chat with self‑hosted LLM back‑ends (vLLM, SGLang, llama.cpp, MLX). It combines a Bun + Hono controller (model lifecycle, OpenAI‑compatible proxy, GPU metrics) with a Next.js/Electron UI and an integrated Pi coding‑agent. The UI works locally or can point at a remote controller, and a companion mobile app (KittyLitter) can pair to reuse the same sessions. The repo provides full dev‑setup scripts, production build instructions, and a CI‑driven release pipeline.
- Project
CherryHQ/cherry-studioA cross-platform desktop client that provides a unified interface for managing and chatting with multiple cloud-based, web-integrated, and local LLMs.
- Project
lmstudio-ai/lmstudio-jsThe official JavaScript/TypeScript SDK for LM Studio, enabling developers to integrate local LLMs into applications with advanced memory and hardware controls.
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EKKOLearnAI/hermes-studioA desktop app and web console that provides a visual interface and local runtime for managing Hermes Agent, featuring visual workflows, multi-platform deployment, and local model management.
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deer-flow/llm-spaceA desktop application for agent builders to prototype, trace, debug, and evaluate AI agents with local-first data management.