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The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
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View guide →Multi-agent court inspired by ancient China: specialized agents debate and decide.
danghuangshang is an open-source agents project by wanikua (wanikua/danghuangshang on GitHub). It has 2,702 GitHub stars and 256 forks, is released under the MIT license, and was last updated on GitHub on 22 May 2026.
Set up Danghuangshang with OpenClaw.
Assign specialized personas to agents.
Let agents deliberate on your question.
Review the coordinated conclusion.
Agents deliberate like officials.
Each agent brings a perspective.
Built on the OpenClaw runtime.
A novel coordination pattern.
MIT licensed experiment.
Ancient governance meets AI.
Download the source and move into the project folder.
git clone https://github.com/wanikua/danghuangshang.git
cd danghuangshangEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at wanikua/danghuangshang with 256 forks.
Yes. MIT licensed.
Both: a working system built around a cultural concept.
It is designed to coordinate agents through OpenClaw.
Check the repo; it has Chinese roots with broader support.
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
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