Discover The Best DSH plugins

DeepSeek Harness plugins — Page 1115

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Search community plugins for DeepSeek Harness. Compare capabilities, installation instructions and compatibility to find extensions for your AI workflow.

dsh-storage-inspector

DSH 存储体检:把 ~/.dsh 的磁盘占用语义分层显示,给出可解释的清理建议。只读、纯本地。

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:OnebugIS/dsh-storage-inspector
dsh-storage-plan

房间收纳方案

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-storage-plan
dsh-store-server

DSH 插件商城服务端(独立仓库):GitHub 同步、REST API、联邦互联、管理端

Other extensions
dsh-storecloud

DSH 插件商城 · 用户端统一仓库(源码 + 产物):悬浮球 / 设置页 / 会话视图三入口 + 本地安装器 RPC + 反向代理桥。配套服务端见 dsh-store-server。

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hajimilvdou/dsh-storecloud
dsh-story

Installable DeepSeek Harness bundle for execution-path observability and deterministic diagnostics

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:791813037/dsh-story#9cb7df15c8fc669f544e08aeb6a6a2c8d33f63a0&path:packages/bundle
dsh-story

Independent novel-writing tools, versioned artifacts and review workflows for DSH.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hldz-top/dsh-story
dsh-story-client

Bilingual execution-path analysis view for DeepSeek Harness sessions

Agent collaboration
dsh-story-contracts

Versioned execution intelligence contracts for DeepSeek Harness plugins

Agent collaboration
dsh-story-host

Host-side full-session execution intelligence projection for DeepSeek Harness

Agent collaboration · Productivity
dsh-story-party

DSH 联机故事派对插件:多人共享剧情、剧情包、子代理与地图(Galgame / 海龟汤 / 剧本杀)

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:miaonuo-lingran/dsh-story-party
dsh-story-weaver

Independent novel-writing tools, versioned artifacts and review workflows for DSH.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hldz-top/dsh_story_weaver
dsh-storyboard

End-of-chat Doubao-style visual storyboard for DeepSeek Harness: a compact self-contained HTML/SVG card summarizing what was done and how it works. Server-only, zero runtime dependencies, offline and light on low-end hardware.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:simikangtao/dsh-storyboard
dsh-storyboard

分镜脚本:分镜术语、镜头类型与分镜模板知识库,辅助视频与短片创作(Storyboard reference for DeepSeek Harness)

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:uckkk/dsh-storyboard
dsh-storymine

DeepSeek Harness plugin for storymine: query a library of narrative techniques, with results shown in the right sidebar instead of the chat transcript.

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:amberpulse/dsh-storymine
dsh-strata

Strata local inference provider, model profiles and engine controls for DeepSeek Harness.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:averyjohnkucan-arch/dsh-strata
dsh-strata

历史提问地图:在 DSH 对话里找回你问过的每一句话 —— 历史提问面板 + 等比会话地图,鼠标一停列出全部提问,点一下跳回那一轮。Prompt-history minimap for the DeepSeek Harness Web GUI: every question you ever asked, one click away.

Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Moleitau-WorldSaver/dsh-strata-custom
dsh-strata-ai-center

AI管理中心 (Strata Engine Manager) — 在 DeepSeek Harness (DSH) 左侧栏「记忆系统」下方管理本机 Strata 引擎:经 strata launch 启停模型、编辑 strata-<model>.json 运行配置、组件升级与回滚,并从 /health /v1/status /v1/telemetry /metrics 读取真实监控数据。安装路径自动探测,开箱即用。

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:newgacker/dsh-strata-ai-center
dsh-strata-monitor

Shows the Strata model server's monitor panel (state, speed, GPU, cache, requests) inside the Harness UI.

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Paidaxing-Tiancai/dsh-strata-monitor
dsh-strawberry-data-hub

Assembly-aware strawberry research evidence tools for DeepSeek Harness

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:798645706/dsh-strawberry-data-hub
dsh-stream

Smooth streaming reveal and conversation follow for the DeepSeek Harness Web UI

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Laplace-bit/dsh-stream
dsh-stream-focus

DSH plugin: smooths running-turn thinking and tool output across all Work details modes, with a capped following window in Compact/Standard and row-level pacing in Detailed/Verbose.

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:timho1047/dsh-stream-focus
dsh-stream-index-guard

Patches the LLM assistant-stream accumulator at runtime to clamp invalid chunk indices, downgrading hard stream failures to dropped or merged chunks; ships a stats tool.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:r-ayin/dsh-stream-index-guard
dsh-stream-timeout-fix

DSH host plugin for third-party/self-hosted OpenAI-compatible endpoints: replace undici's default 300s body/headers timeouts so long silent gaps in LLM SSE streams no longer die as misleading 'TypeError: terminated' (TRANSPORT) errors. No retry logic included.

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SundaeYAGO/dsh-stream-timeout-fix

Find the right plugin, then get started

  1. Search by task

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  2. Explore capabilities

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  3. Check and install

    Review compatibility, dependency ranges and instructions, then copy the available install command.

Questions about DSH Hub

What is DSH Hub?

DSH Hub is a community plugin directory for DeepSeek Harness, bringing together descriptions, source links and installation instructions to help you discover and compare extensions.

Does inclusion mean a plugin is tested and compatible?

No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.

How do I install a plugin?

Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.