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Multiplayer agent harness for work.

TypeScript ◇ ai MIT
★15.3KSTARS
⑂1.9KFORKS
!610ISSUES
🏆#638GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+382

STARS · LAST 30 DAYS

13

PER DAY

#116

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+91+382+1.2K
Per day131313
Forks gained+9+38+94

qm gained 382 stars in the last 30 days, about 13 a day, and now has 15.3K. It is about 1 year old and has averaged roughly 15.3K stars a year. It ranks #116 among TypeScript repositories and #638 across all languages on GitHubRepo.

Trending Record

qm has maintained a continuous presence across global trending indexes, peaking at #1782. Below is the 30-day activity profile:

💡 Overview

qm is an open-source project written in TypeScript: Multiplayer agent harness for work.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, assistant, harness. 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 qm

⚙ 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

qm 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 qm.

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 qm using your package manager: `npm install qm`

2

Initialize your project workspace or configuration file for qm.

3

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

4

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

👍 Strengths

Active community backing with 15,286 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

yc-software/qm is currently ranked #638 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#633 google-deepmind/mujoco C++ ★ 15.4K Compare ↗
#633 seerge/g-helper C# ★ 15.4K Compare ↗
#635 open-metadata/OpenMetadata TypeScript ★ 15.4K Compare ↗
#636 redis/ioredis TypeScript ★ 15.3K Compare ↗
#637 mltframework/shotcut C++ ★ 15.3K Compare ↗
#638 yc-software/qm This Project TypeScript ★ 15.3K
#639 theonedev/onedev Java ★ 15.3K Compare ↗
#640 amnezia-vpn/amnezia-client C++ ★ 15.3K Compare ↗
#641 neovide/neovide Rust ★ 15.2K Compare ↗
#642 documenso/documenso TypeScript ★ 15.2K Compare ↗
#643 NodeBB/NodeBB JavaScript ★ 15.2K Compare ↗

Frequently Asked Questions

What does qm do? +

Multiplayer agent harness for work.

What language is qm written in? +

The primary language is TypeScript. Topics include: ai, assistant, harness, qm.

Is qm actively maintained? +

Yes, the last recorded push was on Sep 29, 2026 with 610 open issues being tracked.

How many stars does qm have? +

qm has 15,286 stars and 1,885 forks on GitHub.

How does qm rank among GitHub repositories? +

With 15,286 stars, yc-software/qm is ranked #638 globally across all repositories tracked on GitHubRepo and #116 among TypeScript projects.

What license is qm distributed under? +

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

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