zytsyj/dsh-gpu

Plugin插件 Native原生 ⭐ 2 MIT Sessions & Context会话与上下文

DeepSeek Harness 的 GPU 感知执行层:gpu_status / gpu_exec / gpu_run_bg 工具,自动显卡选择,逐步 GPU 上下文。

Project Overview项目介绍

dsh-gpu is a GPU-aware plugin for DeepSeek Harness, exposing gpu_status, gpu_exec, and gpu_run_bg tools that run through the mounted shell executor. It auto-picks the freest card or honors an explicit pin, and optionally injects a per-step GPU snapshot. Use it for multi-GPU training, inference servers, and benchmarks. Caveat: selection is advisory—concurrent agents may pick the same card; pin gpuIndex for exclusive claims.

dsh-gpu 是 DeepSeek Harness 的 GPU 感知执行插件,提供 gpu_status、gpu_exec、gpu_run_bg 三个工具,命令通过挂载的 shell 执行器运行,支持自动选卡(优先空闲)或显式固定,并可在每步注入 GPU 快照。适用于多卡训练、推理服务与基准测试等场景。注意选卡为建议性,多 agent 并发仍可能撞卡,专用请固定 gpuIndex。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 2 stars - very few users, little community feedback星标只有 2,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add dsh-gpu

把 zytsyj/dsh-gpu 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-gpu

GPU-aware execution layer for DeepSeek Harness (dsh). Out-of-tree plugin; no harness patches required.

Agents get three tools — gpu_status, gpu_exec, gpu_run_bg — plus an optional per-step GPU context line. Cards are selected automatically (freest first) with CUDA_VISIBLE_DEVICES set in the command environment; pin a card explicitly when you care.

8 GPU(s), free: [0,1,2,3,4,5,6,7]
GPU0 Tesla V100-SXM2-32GB: 4264/32768MiB 0%util 40C
...
[gpus 1 — GPU 1 (auto: freest 1)] exit 0

How it works

  • gpu_status — one query, every device: memory used/total, SM utilization, temperature, and a free/busy verdict. A device is busy at or above 80% memory used or 50% utilization (both configurable).
  • gpu_exec — one-shot command with a selected card: CUDA_VISIBLE_DEVICES=<freest> is passed through the mounted ctx.shell executor's environment. Auto-select or pin gpuIndex; select count cards for multi-GPU commands.
  • gpu_run_bg — long-running GPU jobs (training, inference servers, benchmarks) register as a gpu job in ctx.jobs: returns a job id immediately, read with job_output, stop with job_kill.
  • Per-step context (optional, on by default) — injects a one-line GPU snapshot into eligible steps (the time-context pattern), rate-limited to one sample per minute.

All execution rides the mounted shell executor. Local host, or any remote execution world (e.g. an SSH provider plugin) — dsh-gpu doesn't know or care where the GPUs are; it queries and launches through the same seam the bash tool uses.

Install

dsh-gpu is an out-of-tree bundle plugin. Install and activate it in a profile with the official plugin command:

dsh plugin --profile <name> add dsh-gpu

The package's bundled cordis.patch.yml registers the plugin automatically. To override its configuration, add an entry with the same id to the profile's cordis.patch.yml:

- insert:
    - id: gpu
      name: dsh-gpu
      config:
        stepContext: true

Load order note: place it after your execution-world plugins (e.g. an SSH provider) so the shell seam it queries is the one you intend.

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

← 上一个 Prev dsh-skill-manager 下一个 Next dsh-open-browser →