head to head · open source
qinglong vs agentrq
qinglong has 20,061 GitHub stars, 3,227 forks, 108 open issues and last shipped yesterday. agentrq has 1,177 stars, 86 forks, 6 open issues and last shipped yesterday. qinglong leads on adoption by 1,604% (20,061 vs 1,177 stars). qinglong is written in JavaScript under Apache-2.0; agentrq is written in Go under AGPL-3.0. qinglong has attracted 16% as many forks as stars, agentrq 7%. qinglong was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| qinglong | agentrq | |
|---|---|---|
| GitHub stars | ★ 20K | ★ 1.2K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | JavaScript | Go |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 3.2K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick qinglong if
- You weight community size — 20K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick agentrq if
- You want the agentrq feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Go
- You evaluated both and agentrq fits your workflow better
About qinglong
青龙 简体中文 English 支持 Python3、JavaScript、Shell、Typescript 的定时任务管理平台 Timed task management platform supporting Python3, JavaScript, Shell, Typescript [![npm version][npm version image]][npm version url] [![docker pulls][docker pulls image]][docker pulls url] [![docker stars][docker stars image]][docker stars url] [![docker image size][docker image size image]][docker image size url] [npm version image]: [npm version url]: [docker pulls image]: [docker pulls url]: [docker stars image]: [docker stars url]: [docker image size image]: [docker image size url]: Demo / Issues / Telegram Channel / Buy Me a Coffee 演示 / 反馈 /…
read the full qinglong overview →
About agentrq
AgentRQ ── Agent Human Collaboration Platform 简体中文 AgentRQ is a modern, high performance platform designed for seamless collaboration between human operators and AI agents. It leverages the Model Context Protocol (MCP) to allow AI models (like Claude) to interact directly with your workspace's task management system. 🚀 Overview Think of AgentRQ as a shared workspace where humans and AI agents work together seamlessly. You can break down complex goals into manageable tasks, and delegate work directly to your AI agents. Because agents "see" the workspace state via MCP, they can autonomously pull their assigned…
read the full agentrq overview →
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Frequently asked questions
Is qinglong or agentrq more popular?
qinglong has 20,061 GitHub stars and agentrq has 1,177. qinglong has the larger community by that measure.
Are qinglong and agentrq free?
Both are open source. qinglong is licensed under Apache-2.0 and agentrq under AGPL-3.0. Neither carries a licence fee.
What is the difference between qinglong and agentrq?
qinglong is written in JavaScript and agentrq in Go. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, qinglong or agentrq?
Choose qinglong if you want the larger community (20,061 stars) or its Apache-2.0 licence terms. Choose agentrq if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.