Discover The Best DSH plugins

DeepSeek Harness plugins — Page 25

36480results

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

workdsh-provider-identity-local

Provides trusted local identity and personal workspace ownership.

Skills · Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:techflag/workdsh#afbff787c72c3c571269cccb61747346b19291d9&path:packages/providers/identity-local
dsh-reasoning-effort

Codex-style DeepSeek Harness model and reasoning selector with model-advertised effort levels, DSH-native themes, left-clipped radiation effects, and copy-ready reasoning-effort declaration guidance for custom-provider models.

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HanaAyane/dsh-reasoning-effort
dsh-qq-link

通到 QQ:DSH 里的 AI 伙伴和 QQ 双向互通 —— 它说完话自动发到 QQ,你在 QQ 里说的话自动转进 DSH。走 OneBot 11 HTTP(SnowLuma / NapCat 都行)。

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yuuyuko-uu/dsh-qq-link
@dsh-std/adapter-dsh

DSH Plugin Interoperability Meta-Protocol / DSH 插件互操作元协议

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:T-Auto/dsh-std#2c131ba598ffaaeaec3bc4d8728a956df7a69693&path:packages/adapter-dsh

dsh-std

★ 150
dsh-std

Development namespace guard for the DSH plugin interoperability standard

Other extensions
@omdsh-dev/dsh-genui

GenUI for DeepSeek Harness: interactive UI components rendered inline in assistant replies via the ```dsh-ui fence — layout, charts, plots, forms, quizzes, mermaid, 3D scenes, and an action event loop back to the model. Ships the fence-teaching host plugin, the browser renderer (client half), and the genui skill.

Skills · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:omdsh-dev/dsh-genui
@ericwang1358/dsh-daily-flashcard

StudyHub: turn your lecture slides into questions that each link back to their page; finish a round and see yourself getting it.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add https://github.com/EricWang1358/dsh-web-studyhub/releases/download/v3.7.1/ericwang1358-dsh-daily-flashcard-3.7.1.tgz
@rain-kl/dsh-preset-plus

DeepSeek Harness universal preset enhancement plugin: an editable preset editor (system/user/assistant entries + camouflage model output prepopulation)

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Rain-kl/dsh-preset-plus
dsh-skill-mcp-panel

dsh-skill-mcp-panel: manage skills and MCP servers from the DSH web sidebar plus the unified dsh-panel CLI.

Skills · Interface extensions · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Fishquito7/dsh-skill-mcp-panel
dsh-providers-hub

DeepSeek Harness plugin: one hub for AI coding providers — account login, multi-account pools, silent credential refresh, credit claiming, and a local OpenAI-compatible gateway

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:iJetLi/dsh-providers-hub
mqc-nlv-dsh

新诉讼可视化 · New Litigation Visualization for DeepSeek Harness: seven litigation visualisation skills (timelines, relationship diagrams, chronicles, trial confrontation maps, legal charts, courseware) with native tools to run them.

Skills · Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add 'github:MiaoQichuan/new-litigation-visualization#58f70a83350a421dc1571c357efaefb262e82c4b&path:plugins/mqc-nlv-dsh'
ds-harness-remote

DeepSeek 远程连接

Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liguobao/ds-harness-remote
eac-plugin-suite

EAC/AIO 插件整合包 — one-click install and update for the full EAC and AIO plugin suites on DeepSeek Harness desktop.

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ebony-Vinyl/EAC-Pack
dsh-connect-workbuddy

把本机登录的 WorkBuddy 模型接入 DeepSeek Harness,并提供只读的积分概览与模型管理。

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dingminhua/dsh-connect-workbuddy
dsh-live-compact

In-place newest-turn compaction for DeepSeek Harness. Compress while the task runs and keep the prefix.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add dsh-live-compact@1.1.1
@dsh-external/dsh-wish-specializer

许愿特化器(Wish Specializer):把你的一句话愿望特化成工作 AI 能照着做的要求——方向性补充(审美 / 光影与材质 / 构图与层次 / 场景 / 交互 / 验收口径)、独立顾问复核、注入可见;不改写用户原话,不记验收通过。private 保持 true:只发 GitHub Release 附件,不发布到 npm。

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WestFox-AwA/dsh-wish-specializer
@zseven-w/dsh-noema

Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.

Memory and knowledge · Agent collaboration · Developer tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ZSeven-W/dsh-noema
dsh-codex-subscription

Use ChatGPT and Codex subscriptions in DeepSeek Harness with OAuth, quota, safe resets, web search, images, and Fast mode

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WSL043/dsh-codex-subscription
meow-memory

Cross-session project memory for DeepSeek Harness: seven-layer SQLite memory, first-turn snapshot injection, per-message keyword hits, memory_remember/search/project tools, automatic reflection with reflection-fold UI, and idle-triggered dream consolidation (peak-hour suppressed).

Memory and knowledge · Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Phant0Meow/dsh-meow-memory
dsh-recall-unread

DeepSeek Harness plugin: recall sent-but-unread text messages before the model reads them.

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hg1048596-pixel/dsh-recall-unread

my-app

★ 126
my-app

面向金融与产业研究的一屏式实时行情大屏:A股/港股/美股指数、大宗商品、美债收益率、板块热点、主力资金流、7×24 快讯、产业链自选股、AI 大模型 Token 追踪。A real-time market research cockpit on a single screen: CN/HK/US indices, commodities, treasury yields, sector hotspots, capital flows, 7×24 news, industry-chain watchlists and AI token usage trends.

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:theBigGavin/marketingdashboard
dsh-purge-flash

DSH 破甲插件:token 级重试环 + 十片按需叶子(含邻近交付)+ 分级 prefill + 拒答阶梯 + finish_reason 分流 + 请求体整形。零宿主补丁,172→188 项测试。

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jadezane6634-ops/dsh-purge-flash
dsh-memento

Bounded, layered, approval-gated, auditable cross-session memory for DeepSeek Harness — a capability seam (ctx.memory service + local SQLite provider + memory tool + frozen snapshot injection), not another memory warehouse

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-memento
billion-context-dsh

Active Context Pruning (ACP) for the DeepSeek Harness — model-driven context management as a CompactionEngine backend.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Tyan66666/billion-context-dsh

Find the right plugin, then get started

  1. Search by task

    Use a feature keyword or category, then sort by recent updates or GitHub stars.

  2. Explore capabilities

    Read the description, AI analysis and original README to understand what a plugin does.

  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.