head to head · open source
Fizzy vs agentrq
Fizzy has 8,283 GitHub stars, 1,211 forks, 67 open issues and last shipped today. agentrq has 1,177 stars, 86 forks, 6 open issues and last shipped yesterday. Fizzy leads on adoption by 604% (8,283 vs 1,177 stars). Fizzy is written in Ruby under a custom or non-standard licence; agentrq is written in Go under AGPL-3.0. Fizzy has attracted 15% as many forks as stars, agentrq 7%. Fizzy 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
| Fizzy | agentrq | |
|---|---|---|
| GitHub stars | ★ 8.3K | ★ 1.2K |
| License | Custom / other | AGPL-3.0 |
| Written in | Ruby | Go |
| Last push | 2026-11-05 | 2026-11-04 |
| Forks | ⑂ 1.2K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Fizzy if
- You weight community size — 8.3K stars and counting
- You want the Custom / other license terms
- Your stack matches Ruby
- 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 Fizzy
Fizzy This is the source code of Fizzy, the Kanban tracking tool for issues and ideas by 37signals. Running your own Fizzy instance If you want to run your own Fizzy instance, but don't need to change its code, you can use our pre built Docker image. You'll need access to a server on which you can run Docker, and you'll need to configure some options to customize your installation. You can find the details of how to do a Docker based deployment in our Docker deployment guide. If you want more flexibility to customize your Fizzy installation by changing its code, and deploy those changes to your server, then we…
read the full Fizzy 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 Fizzy or agentrq more popular?
Fizzy has 8,283 GitHub stars and agentrq has 1,177. Fizzy has the larger community by that measure.
Are Fizzy and agentrq free?
Both are open source. Fizzy has no licence declared in this registry, and agentrq is licensed under AGPL-3.0. Both are free to self-host.
What is the difference between Fizzy and agentrq?
Fizzy is written in Ruby 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, Fizzy or agentrq?
Choose Fizzy if you want the larger community (8,283 stars) or its Custom / other licence terms. Choose agentrq if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.