head to head · open source
KaibanJS vs agentrq
KaibanJS has 1,486 GitHub stars, 159 forks, 78 open issues and last shipped 6 months ago. agentrq has 1,176 stars, 86 forks, 6 open issues and last shipped yesterday. KaibanJS leads on adoption by 26% (1,486 vs 1,176 stars). KaibanJS is written in TypeScript under MIT; agentrq is written in Go under AGPL-3.0. KaibanJS has attracted 11% 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 (agents), 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
| KaibanJS | agentrq | |
|---|---|---|
| GitHub stars | ★ 1.5K | ★ 1.2K |
| License | MIT | AGPL-3.0 |
| Written in | TypeScript | Go |
| Last push | 2026-05-15 | 2026-11-04 |
| Forks | ⑂ 159 | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick KaibanJS if
- You weight community size — 1.5K 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 KaibanJS
KaibanJS The JavaScript Framework for Building Multi agent Systems. Kanban for AI Agents? 🤖📋 KaibanJS is inspired by the tried and true Kanban methodology, which is well known for helping teams organize and manage their work. We've adapted these concepts to meet the unique challenges of AI agent management . If you've used tools like Trello, Jira, or ClickUp, you'll be familiar with how Kanban helps manage tasks. Now, KaibanJS uses that same system to help you manage AI agents and their tasks in real time. With KaibanJS, you can: 🔨 Create, visualize, and manage AI agents, tasks, tools, and teams 🎯…
read the full KaibanJS 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 KaibanJS or agentrq more popular?
KaibanJS has 1,486 GitHub stars and agentrq has 1,176. KaibanJS has the larger community by that measure.
Are KaibanJS and agentrq free?
Both are open source. KaibanJS is licensed under MIT and agentrq under AGPL-3.0. Neither carries a licence fee.
What is the difference between KaibanJS and agentrq?
KaibanJS 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, KaibanJS or agentrq?
Choose KaibanJS if you want the larger community (1,486 stars) or its MIT licence terms. Choose agentrq if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.