knotline

1. 安装并启动 DeepSeek Harness：npx @deepseek-ai/dsh web
2. 在终端执行上面的安装命令（CLI 会解析插件并核验来源）
3. 用 dsh plugins list 确认已安装，必要时重启 Harness 生效

插件以当前 dsh 进程的权限运行，安装时可能执行代码。请先通读仓库源码与许可证，确认无破坏性命令与越权访问；本站只做索引，不对第三方插件安全性作担保。

事实信息来自公开插件目录快照（2026-10-01），介绍文案由本站再加工。

以下为插件仓库 README 全文（原始内容，由公开目录抓取整理）。

[图片: 运筹 Knotline — plan, execute, and review real agent work on one operating map]

[![License](https://img.shields.io/badge/license-Apache--2.0-6172f3)](LICENSE)
[![Node](https://img.shields.io/badge/node-%5E22.19%20%7C%7C%20%3E%3D24-2e90fa)](package.json)
[![DSH](https://img.shields.io/badge/DeepSeek%20Harness-0.1.0--rc.6-12b76a)](docs/compatibility.md)
[![npm version](https://img.shields.io/npm/v/knotline-dsh)](https://www.npmjs.com/package/knotline-dsh)
[![npm downloads](https://img.shields.io/npm/dm/knotline-dsh)](https://www.npmjs.com/package/knotline-dsh)

**English** · [简体中文](README.zh-CN.md)

Knotline (**运筹**) is a project operating map for the DeepSeek Harness sidebar.

Requests, agents, execution, review, and delivery live on one canvas — **a line is a command: it runs real agent work.**

## One line runs one real execution

[图片: A request connects to an agent, is classified, executes for real, and the answer grows on the map]

Drag a Request onto the canvas and connect it to an Agent. Classification derives an Answer for questions, Review Feedback then a Plan for complex work, or a live Task Bench for Debug — then a **real, resumable DSH conversation** does the work. There is no fake execution: status only advances through structured lifecycle tools.

## Everything a chat gives you, on the map

[图片: Live transcript]

[图片: Governance flow]

**Chat-grade visibility.** Running Task Benches embed a live transcript (you / agent / tools); finished work carries the **agent's full reply**, delivery summary, and validation evidence — nothing is lost.

**Governed by design.** Execution flows through a pre-review artifact and an **independent reviewer** — self-approval is rejected by the backend. Approval pools let a trusted agent execute only approved plans.

## Six root nodes; everything else grows by itself

[图片: Request, Agent, Skill, Backlog, Approval Pool, Scheduled Trigger]

- **Agent + Agent** forms a Team that keeps both conversations and holds an internal discussion before assignments;
- **Backlog pools** queue work that idle agents pull automatically;
- **Scheduled Triggers** run on a Host-owned timer that survives restarts;
- **Skills** dragged onto an Agent or Team bind capabilities for every later run.

## Reports read like posts

Click a Work Report, Answer, or Plan to open a **fullscreen detail page**: the producing agent leads, the body renders Markdown (tables included), and a status rail shows whether that agent is busy and what is queued. **Select any passage to raise a floating annotate button**; comments are relayed to the producing agent, whose status reply types out beneath your comment.

## Quick start

```powershell
npm install
npm run build
npx @deepseek-ai/dsh@0.1.0-rc.6 plugin --profile web add (Resolve-Path .).Path
npx @deepseek-ai/dsh@0.1.0-rc.6 web
```

Open the URL printed by DSH and pick **运筹 / Knotline** in the sidebar: choose a workspace on the fullscreen picker and hit "Enter Knotline" at the bottom right. A three-step guide greets first-time users.

### Verify

```powershell
npm run check     # lint + types + 55 tests + both bundles
npm run pack:check
```

See the Chinese [product requirements document](docs/PRD.md), [docs/architecture.md](docs/architecture.md) for the runtime path, and [docs/development.md](docs/development.md) for local development.

[图片: 运筹 Knotline]

Knotline is licensed under the [Apache License 2.0](LICENSE). It descends from the Dashi Taskboard codebase; [PROVENANCE.md](PROVENANCE.md) records what was carried forward, [NOTICE](NOTICE) carries the required attribution, and bundled third-party code is listed in [THIRD_PARTY_NOTICES.md](THIRD_PARTY_NOTICES.md). Knotline is an independent community project, not affiliated with, sponsored by, or endorsed by DeepSeek or the upstream Dashi Taskboard authors. Product names are used only to describe interoperability.