Content CC BY-NC-SA 4.0 / examples MIT — a 15-chapter Chinese-first handbook for learning the DeepSeek Harness (dsh) coding agent from zero, readable online or as PDF; it documents dsh (ecosystem level) rather than installing into it.
DSH integration
Ecosystem-related
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
Not specified by the author
01What can it help you accomplish?
Go from zero to productive with DeepSeek Harness: install, daily use, plugin development and performance tuning
A 15-chapter handbook with copy-paste commands verified locally, a 3-day learning path with daily goals and acceptance criteria, a one-page cheatsheet, and a cloneable plugin template with a full config reference
Developers and newcomers to DeepSeek Harness (dsh) who need a structured Chinese-first path that the official architecture docs don't provide
Compare DeepSeek Harness with mainstream agents and shortlist with real benchmarks
A capability matrix vs 5 mainstream agents (Claude Code, OpenAI Codex, OpenCode, Gemini CLI, Kimi CLI) plus same-model benchmarks on deepseek-v4-flash: omp 70s / dsh 130s / opencode 172s, 45/45 tasks correct
Teams evaluating which agent harness to adopt
Read the dsh ecosystem: pain points, capability gaps and the plugin landscape
Chapter 15 ecosystem report cross-validating an inventory of 1804 plugin repos with 780 discussion threads: 5 key conclusions and 6 capability gaps
Plugin developers and ecosystem participants deciding what to build or adopt on dsh
02How to install into DeepSeek Harness
Prerequisites
- Node.js ≥ 22 (required to run dsh itself, which the handbook's chapters teach)
Installation steps
- 01
Read the handbook online at https://electricitysheep.github.io/dsh-handbook/ or download the Chinese / English PDF from GitHub Releases
- 02
To follow the chapters, install and start the dsh Web UI: `npx -y @deepseek-ai/dsh web`, then open http://127.0.0.1:3080
$ npx -y @deepseek-ai/dsh web
- 03
For one-shot tasks (scripts/CI), run `dsh --profile headless "task"`
$ dsh --profile headless "task"
Verify the integration
- Open http://127.0.0.1:3080 in the browser and start a conversation (dsh Web UI)
03DSH integration and capability boundaries
Chinese-first DeepSeek Harness (dsh) handbook / whitepaper — a 15-chapter documentation project (tutorials, benchmarks, ecosystem observation) that teaches dsh; it is read online or as PDF, not installed into dsh
15-chapter zero-to-one handbook
a new DeepSeek Harness user→install, quickstart, profiles & plugin system, plugin development, real cases, performance tuning, MCP / subagents / workflows, security & sandbox, cache & cost — every chapter with runnable commands
Cloneable plugin template & config reference
a developer writing their first dsh plugin→a cloneable template (pure functions + waterfall + tests) and a settings.yaml / cordis.patch.yml config reference — mounting a plugin takes 2 edits (add dependency + add insert line)
following the template edits package.json and cordis.patch.yml inside the dsh profile and runs pnpm installBenchmarks & agent comparison
a buyer or selector comparing agent harnesses→capability matrix vs 5 mainstream agents and same-model benchmark data (5 tasks × 3 rounds, median): omp 70s / dsh 130s / opencode 172s, 45/45 correct
Ecosystem observation center
1804 plugin repos + 780 discussion threads→Chapter 15 panorama report: 5 conclusions (Windows as top pain point, community filling official gaps, sandbox tooling scarcity, serialization bug family, cost transparency) and 6 capability gaps
04Who is it for? When not to use it?
Good for
- Developers and newcomers to DeepSeek Harness (dsh) who need a structured Chinese-first path that the official architecture docs don't provide
- Teams evaluating which agent harness to adopt
- Plugin developers and ecosystem participants deciding what to build or adopt on dsh
Not for
- The handbook targets dsh 0.1.0-rc.6 (pre-release); the README warns production use needs careful evaluation, and chapter commands can go stale as rc versions iterate with breaking changes.
- The handbook documents Windows as dsh's #1 pain point (Chinese paths — 15+ threads with the same root cause — koffi, ports, child processes); its own sample environment is Windows 11 + Node 24 with a documented Node-version red line.
05Compatibility, maintenance and safety notes
- The handbook targets dsh 0.1.0-rc.6 (pre-release); the README warns production use needs careful evaluation, and chapter commands can go stale as rc versions iterate with breaking changes.
- The handbook documents Windows as dsh's #1 pain point (Chinese paths — 15+ threads with the same root cause — koffi, ports, child processes); its own sample environment is Windows 11 + Node 24 with a documented Node-version red line.
- Handbook content is CC BY-NC-SA 4.0 — attribution, non-commercial, share-alike — so reuse in commercial products is not permitted; only the example code is MIT.
CC BY-NC-SA 4.0 (content) / MIT (examples) · actively maintained (v1.8.0 released 2026-08-17)
06Frequently asked questions
Is dsh-handbook a plugin I install into DeepSeek Harness?
No — it is documentation: a 15-chapter handbook you read online at electricitysheep.github.io/dsh-handbook or download as Chinese / English PDFs from GitHub Releases. It teaches dsh; nothing is installed into dsh itself.
Which dsh version does the handbook cover?
dsh 0.1.0-rc.6 (pre-release) with DeepSeek-V4-Flash-0731. The README warns that production use needs careful evaluation, and that chapter commands can go stale as rc versions iterate.
Are the commands actually runnable?
Yes — every chapter includes copy-paste commands the authors verified locally, e.g. `npx -y @deepseek-ai/dsh web` (Node.js ≥ 22) starts the Web UI at http://127.0.0.1:3080, and `dsh --profile headless "task"` runs one-shot tasks for scripts/CI.
Is it Chinese only?
No — it is Chinese-first with English in sync: an English README (README.en.md) and an 83-page English PDF (about 160k characters) ship alongside the 15-chapter Chinese version.
Can I reuse the content?
The handbook content is CC BY-NC-SA 4.0 (attribution, non-commercial, share-alike); only the example code is MIT.
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08Data and sources
**DeepSeek Harness 中文手册 × 生态观察中心**——从 0 到 1 玩转 dsh，跟着 780 帖讨论区看懂生态 · 中文 · [English](./README.en.md)
但官方文档以架构说明为主，**缺少一条从零上手的路径**。**这本白皮书补上这条路**：从"什么是 Agent 运行时"讲起，到安装、使用、开发插件、性能调优——每一章都有可复制、可运行的命令，全部在本机实测验证。
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.