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★5.3KSTARS
⑂463FORKS
!343ISSUES
🏆#1,771GLOBAL RANK
🔥11DAYS TRENDING
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Momentum

+133

STARS · LAST 30 DAYS

4

PER DAY

#270

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+6+133+360
Per day144
Forks gained+1+9+23

lms gained 133 stars in the last 30 days, about 4 a day, and now has 5.3K. It is about 2 years old and has averaged roughly 2.7K stars a year. It ranks #270 among TypeScript repositories and #1,771 across all languages on GitHubRepo.

Trending Record

lms has maintained a continuous presence across global trending indexes, peaking at #681. Below is the 30-day activity profile:

💡 Overview

lms is an open-source project written in TypeScript: LM Studio CLI.

Engineered for speed, consistency, and developer ease, it solves common hurdles in llm, lmstudio, nodejs. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install lms

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

lms coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with lms.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install lms using your package manager: `npm install lms`

2

Initialize your project workspace or configuration file for lms.

3

Import lms into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `lms --help` to verify successful setup.

👍 Strengths

Active community backing with 5,315 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

lmstudio-ai/lms is currently ranked #1,771 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,766 metalbear-co/mirrord Rust ★ 5.3K Compare ↗
#1,767 github/gh-aw Go ★ 5.3K Compare ↗
#1,768 facebookincubator/katran C ★ 5.3K Compare ↗
#1,769 solidusio/solidus Ruby ★ 5.3K Compare ↗
#1,769 feschber/lan-mouse Rust ★ 5.3K Compare ↗
#1,771 lmstudio-ai/lms This Project TypeScript ★ 5.3K
#1,772 astropy/astropy Python ★ 5.3K Compare ↗
#1,773 nikkinikki-org/OpenWrt-nikki JavaScript ★ 5.3K Compare ↗
#1,774 shihabal3amri/DiPlay Kotlin ★ 5.3K Compare ↗
#1,775 zircote/swagger-php PHP ★ 5.3K Compare ↗
#1,776 qtile/qtile Python ★ 5.3K Compare ↗

Frequently Asked Questions

What does lms do? +

LM Studio CLI

What language is lms written in? +

The primary language is TypeScript. Topics include: llm, lmstudio, nodejs, typescript.

Is lms actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 343 open issues being tracked.

How many stars does lms have? +

lms has 5,329 stars and 463 forks on GitHub.

How does lms rank among GitHub repositories? +

With 5,329 stars, lmstudio-ai/lms is ranked #1,771 globally across all repositories tracked on GitHubRepo and #270 among TypeScript projects.

What license is lms distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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