head to head · open source
edict vs agentrq
edict has 17,046 GitHub stars, 1,768 forks, 18 open issues and last shipped 1 months ago. agentrq has 1,177 stars, 86 forks, 6 open issues and last shipped yesterday. edict leads on adoption by 1,348% (17,046 vs 1,177 stars). edict is written in Python under MIT; agentrq is written in Go under AGPL-3.0. edict has attracted 10% 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.
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
| edict | agentrq | |
|---|---|---|
| GitHub stars | ★ 17K | ★ 1.2K |
| License | MIT | AGPL-3.0 |
| Written in | Python | Go |
| Last push | 2026-09-28 | 2026-11-02 |
| Forks | ⑂ 1.8K | ⑂ 86 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick edict if
- You weight community size — 17K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 edict
⚔️ 三省六部 · Edict 我用 1300 年前的帝国制度，重新设计了 AI 多 Agent 协作架构。 结果发现，古人比现代 AI 框架更懂分权制衡。 12 个 AI Agent（11 个业务角色 + 1 个兼容角色）组成三省六部：太子分拣、中书省规划、门下省审核封驳、尚书省派发、六部+吏部并行执行。 比 CrewAI 多一层 制度性审核 ，比 AutoGen 多一个 实时看板 。 🎬 看 Demo · 🚀 30 秒体验 · 🏛️ 架构 · 📋 看板功能 · 📚 架构文档 · English · 日本語 · 参与贡献 🎬 Demo 您的浏览器不支持视频播放，请查看下方 GIF 或 下载视频 。 🎥 三省六部 AI 多 Agent 协作全流程演示 📸 GIF 预览（加载更快） 飞书下旨 → 太子分拣 → 中书省规划 → 门下省审议 → 六部并行执行 → 奏折回报（30 秒） 🐳 没有 OpenClaw？ 跑一行 docker run p 7891:7891 cft0808/edict 即可体验完整看板 Demo（预置模拟数据）。 🤔 为什么是三省六部？ 大多数 Multi Agent 框架的套路是： "来，你们几个 AI 自己聊，聊完把结果给我。" 然后你拿到一坨不知道经过了什么处理的结果，无法复现，无法审计，无法干预。 三省六部的思路完全不同 —— 我们用了一个在中国存在 1400…
read the full edict 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 edict or agentrq more popular?
edict has 17,046 GitHub stars and agentrq has 1,177. edict has the larger community by that measure.
Are edict and agentrq free?
Both are open source. edict is licensed under MIT and agentrq under AGPL-3.0. Neither carries a licence fee.
What is the difference between edict and agentrq?
edict is written in Python 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, edict or agentrq?
Choose edict if you want the larger community (17,046 stars) or its MIT licence terms. Choose agentrq if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.