nicremo/dsh-cli

** 让克洛德代码、代码、OpenCode、Pi或任何其他代理并行运行DeepSeek Harness会话。 **

(原始内容存档于2018-10-21) (中文(简体) ). Deepsekharnescli.nicremo.de**

** 非官方社区项目。 ** dsh-cli不附属于DeepSeek, 未经其认可或赞助。 "Deep Seek Harness"是Deep Seek的商标,在这里仅用于描述相容性.

为什么

我使用DeepSeek Harness(dsh)主要用于研究和许多平行会议:一次十个研究问题、收集文章截图、博客文章的卷轴录像、库存录像。 深塞克快速而廉价,这使得它成为一个伟大的工人池. 所缺少的是我的主要编码代理驱动的方法: 启动会话,等待,读取结果,跟进. 这是dsh -cli做的。

dsh-cli是代理先. 每个命令都是非交互的,一次返回,打印紧凑文本或--json,并使用稳定的退出代码. 它搭载了一名Skill特工,教克劳德密码,Codex,OpenCode,Pi和其他用具何时以及如何将工作委托给DeepSeek Harness.

□ 特性

• Parallel研究批次:dsho research "q1" "q2" ...每个问题有一个工人;每个工人写出`报告’.

Unofficial community project. dsh-cli is not affiliated with, endorsed by or sponsored by DeepSeek. “DeepSeek Harness” is a trademark of DeepSeek and is used here only to describe compatibility.

Why

I use DeepSeek Harness (dsh) mostly for research and for many parallel sessions: ten research questions at once, collecting screenshots of articles, scroll videos of blog posts, stock footage. DeepSeek is fast and cheap, which makes it a great worker pool. What was missing is a way for my main coding agent to drive it: start the sessions, wait for them, read the results, follow up. That is what dsh-cli does.

dsh-cli is agent first. Every command is non-interactive, returns at once, prints compact text or --json, and uses stable exit codes. It ships an Agent Skill that teaches Claude Code, Codex, OpenCode, Pi and other harnesses when and how to delegate work to DeepSeek Harness.

Features

• Parallel research batches: dsho research "q1" "q2" ... runs one worker per question; each writes report.md and sources.json, dsho collect merges them into one INDEX.md.
• Material gathering: dsho materials "brief" runs one worker per kind (screenshots, scroll videos, news articles, stock footage, stock photos) with a manifest.json that records source and licence for every file.
• Live in the DSH web UI: when dsh web is running, every job is a real session in that UI. A batch becomes its own workspace, every session gets a readable title, and you can watch or step in.
• Headless fallback: without the UI, each job runs in its own headless dsh process with a lean profile (orchestra) that reuses your research MCP servers.
• Steer like a human would: wait, status, logs -f, result, files, continue (same session, same folder), cancel.
• Deterministic captures: dsho capture shot|scroll takes clean screenshots and smooth 1080p scroll videos with Playwright (cookie banners dismissed, overlays hidden, ad networks blocked, watchdog for hanging pages).