head to head · open source
Backlog.md vs agentrq
Backlog.md has 7,273 GitHub stars, 480 forks, 55 open issues and last shipped 7 days ago. agentrq has 1,176 stars, 86 forks, 6 open issues and last shipped yesterday. Backlog.md leads on adoption by 518% (7,273 vs 1,176 stars). Backlog.md is written in TypeScript under MIT; agentrq is written in Go under AGPL-3.0. Backlog.md has attracted 7% as many forks as stars, agentrq 7%. agentrq was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agentic-ai), so they are genuine substitutes rather than adjacent tools.
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
| Backlog.md | agentrq | |
|---|---|---|
| GitHub stars | ★ 7.3K | ★ 1.2K |
| License | MIT | AGPL-3.0 |
| Written in | TypeScript | Go |
| Last push | 2026-10-29 | 2026-11-04 |
| Forks | ⑂ 480 | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Backlog.md if
- You weight community size — 7.3K stars and counting
- You want the MIT license terms
- Your stack matches TypeScript
- 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 Backlog.md
Backlog.md Markdown‑native Task Manager & Kanban visualizer for any Git repository AI agents write the code. You review the tasks: before, during, and after. npm i g backlog.md Backlog.md turns any folder into a self‑contained project board powered by plain Markdown files and a zero‑config CLI. Why Backlog.md in the AI era AI agents can now produce more plausible code in an hour than you can carefully read in a day. The bottleneck is no longer writing code. It's your attention. You can't meaningfully review 15,000 generated lines in one sitting, but you can read a screenful of task specs with acceptance criteria…
read the full Backlog.md 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 Backlog.md or agentrq more popular?
Backlog.md has 7,273 GitHub stars and agentrq has 1,176. Backlog.md has the larger community by that measure.
Are Backlog.md and agentrq free?
Both are open source. Backlog.md is licensed under MIT and agentrq under AGPL-3.0. Neither carries a licence fee.
What is the difference between Backlog.md and agentrq?
Backlog.md is written in TypeScript 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, Backlog.md or agentrq?
Choose Backlog.md if you want the larger community (7,273 stars) or its MIT licence terms. Choose agentrq if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.