zuoyunlai/lunheng-article-pipeline-dsh
zuoyunlai
让多个 AI 智能体分工协作,帮你把长篇文章从选题一路写到成稿。
MarchLiu122更新于 昨天
把 LLM 智能体的编排当成控制回路来设计,让多智能体协作更可控、可调。
实用分
82 / 100
配置门槛
开箱即用
协议
MIT
语言
JavaScript
复制命令,或者把整个安装任务交给你的 Harness 智能体。
git clone https://github.com/MarchLiu/dsh-cybernetics.git请帮我安装 DeepSeek Harness 插件「dsh-cybernetics」: - GitHub 仓库:MarchLiu/dsh-cybernetics(https://github.com/MarchLiu/dsh-cybernetics) - 类型:cordis 插件(装到 DSH profile) - 该插件开箱即用,无需额外配置。 请先查看仓库 README 确认安装步骤,然后按官方方式安装。装完后告诉我怎么使用。
来自项目自身文档的清洗摘录。
dsh-cybernetics English 简体中文 dsh-cybernetics is a DSH plugin that explicitly designs LLM agent orchestration as a control loop : the session goal persists as an artifact of the agent's thinking; the task agent acts, the verify agent measures, the triage agent triages, the controller advances between rounds, and the user calibrates the outer loop through conversation — a negative-feedback loop of goal, action, measurement, and calibration. The protocol takes its name from Wiener's cybernetics: set a goal (setpoint), act, measure the deviation of the output from the goal, and use that deviation to correct the next action. A traditional one-shot prompt is an open-loop system — the goal lives only inside the current prompt, and the burden of measurement falls entirely on the human;…
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