Discover The Best DSH plugins

Agent collaboration · DeepSeek Harness plugins — Page 270

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Explore agent orchestration, multi-agent collaboration and task execution plugins.

dsh-peak

DeepSeek API peak/off-peak pricing indicator: a live composer pill (red during peak, green off-peak) with a countdown to the next switch, plus a dsh_peak_status tool the agent can call to warn about cost.

Agent collaboration · Financial data
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:geokkjer/dsh-peak
dsh-peak-cost-mode

DeepSeek peak-pricing cost guard for DSH: during peak hours (Beijing 09:00–12:00 / 14:00–18:00, ×2) the agent automatically switches to ultra-compressed caveman-style output to save tokens, and a header badge + toast keep you posted on every peak/valley transition. · DeepSeek 峰谷计价省钱插件:高峰时段自动切 caveman 超精简输出省 token,标题栏徽章 + 切换提醒。

Agent collaboration · Notifications · Financial data
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:moon09300731/dsh-peak-cost-mode
dsh-peer-relay

Host-only peer session relay tools for DeepSeek Harness

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:klpzj/dsh-peer-relay
dsh-pentester

Pentesting agent plugin for DeepSeek Harness

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fb0sh/dsh-pentester
dsh-per-turn-isolation

每轮对话独立:每轮开始前把本轮之前的历史从模型可见上下文中折掉,并按会话注入一段长期有效的设定。

Agent collaboration · Financial data · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xinshang777/dsh-per-turn-isolation
dsh-perf

DSH 性能剖析插件:UI 卡顿监测(消息延迟采样)+ procdump/DumpStack 分析 + 托管堆统计

Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
dsh-performance

性能优化:测量先行、瓶颈定位、复杂度分析、缓存/懒加载、资源释放。受 addyosmani/agent-skills(88k★ MIT)启发。

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:satan9394/dsh-performance
dsh-periscope

DSH plugin: keep text-only models (deepseek-v4-flash / deepseek-v4-pro) as the session default and automatically route image-bearing requests to a configured vision model; also ships the generic file-attachment feature (drag/paste any file as a durable attachment the agent reads by path) as core patches (apply via scripts/patch-core.mjs).

Agent collaboration · Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lmh-2026/dsh-periscope
dsh-persona

DeepSeek Harness plugin: give the agent a switchable, persistent persona (人设) with cross-session memory. Built-in personas an-ruotong / yan-guan / lao-jie plus user-defined personas; switch_persona / list_personas / persona_remember / persona_recall / persona_forget tools.

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:haimuhaimu/dsh-persona
dsh-persona-anchor

Pin a persona prompt section that never competes for the AGENTS.md instruction budget

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:harmless0819-dev/dsh-persona-anchor
dsh-personalization

DSH 个性化设置插件:在设置页提供「个性化」卡片,直接编辑 $DSH_HOME/AGENTS.md(用户全局个性化配置),每个会话自动注入生效。

Agent collaboration · Productivity

dsh-pet

★ 0
dsh-pet

DSH 桌宠布丁:Web 界面右下角的小橘猫,随 Agent 会话状态实时表演(工作中敲键盘 / 收工丢电脑 / 空闲打瞌睡 / 等待歪头)。纯 Client 静态插件。| Desk pet for the DeepSeek Harness (DSH) Web UI: an orange desk cat that reacts to the live agent session state (typing while working, throwing the laptop away when done, napping while idle, tilting its head while waiting). Pure client-side static plugin.

Agent collaboration · Interface extensions · Productivity
dsh-pet-bridge

Publishes DeepSeek Harness agent activity into a state file a desktop pet can read, so the pet shows what the agent is doing right now.

Agent collaboration · Interface extensions · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:deanzhang2026-max/dsh-lived-pet#10445a1b147b06a282b2f9b34d850dbaddae2af5&path:packages/dsh-pet-bridge
dsh-pet-evolve

The pet that grows with your DeepSeek Harness agent: stage evolution from real signals (verified rules, sessions, tool calls), agent-state mirroring, and one-click growth share cards.

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zoahdev/dsh-pet-evolve
dsh-pet-in-frame

Agent desktop pet overlay for DeepSeek Harness: static or frame-animated poses that react to agent status and tool calls.

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HarmlessFunny/dsh-pet-in-frame
dsh-pet-statuslight

DeepSeek Harness status-light plugin: character expressions follow the model state, chat-bubble notifications, and a Windows always-on-top mini-window. 状态灯插件:角色表情跟随模型状态 + 聊天框气泡 + 系统级置顶小窗。

Skills · Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kongchengavg/dsh-pet-StatusLight
dsh-pharos

DSH 桌面守望提醒插件:模型需要你操作(审批/方案确认/提问)或回复在后台完成时,系统通知 + 提示音 + 标题标记提醒你;完成通知带耗时小结,未处理的待办 10 分钟后二次提醒,通知不可用时标题闪烁兜底。Pharos lighthouse for DeepSeek Harness — alerts you when the agent needs your input (approval / plan review / question) or a reply finishes in the background: toasts, chimes, a tab-title marker, duration summary, one-shot re-alert for unanswered requests, and a blink fallback when notifications are unavailable.

Agent collaboration · Notifications · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Leo-Cjw/dsh-pharos
dsh-phone-connect

Persistent browser-only phone access for DeepShell through Tailscale Funnel

Agent collaboration
dsh-phone-remote

Phone control for DeepSeek Harness: a token-protected mobile page served from this computer, with an optional IP allowlist, so you can drive the agent from your phone — list sessions, send prompts, watch live output, cancel a turn. 手机遥控:打开链接/扫码即可在手机上指挥电脑上的 DSH Agent 干活,支持 IP 白名单与 Tailscale。

Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wlxyxykj/dsh-phone-remote
dsh-photo2dsh-by-lan

DSH 手机照片收件箱:手机(iOS 快捷指令 / Android HTTP Shortcuts)一键把照片经**局域网**传到这台 PC 的可配置目录并弹通知,Agent 直接可读;不依赖云、不用装手机 App、不改 app.asar。配置界面在侧栏 Plugins 本包页面。 | DSH LAN photo inbox: one tap on your phone (iOS Shortcuts / Android HTTP Shortcuts) sends photos over the LAN into a configurable folder on this PC, with a toast — directly readable by the agent. No cloud, no IM app, no mobile app, no app.asar patching. Config UI on the Plugins page.

Agent collaboration · Notifications · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:apherchin/dsh-photo2dsh-by-lan
dsh-pi-adapter

Run pi coding-agent extensions (ExtensionAPI) inside DeepSeek Harness via a cordis plugin bridge.

Agent collaboration · Developer tools · Integrations
dsh-pi-compatible

在 DeepSeek Harness 中复刻 Pi 工具组的 agent preset,提供 Pi 风格小写核心工具契约并保留 DSH-backed 扩展工具。

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kingguuu8-svg/dsh-pi-compatible
dsh-pi-tui-shim

pi-TUI front door for DeepSeek Harness — dsh agent runtime rendered by pi's actual InteractiveMode (update-proof: the look ships with pi).

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:utensil/dsh-pi-tui-mono
dsh-pi-tui-shim

pi-TUI front door for DeepSeek Harness — dsh agent runtime rendered by pi's actual InteractiveMode (update-proof: the look ships with pi).

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:utensil/dsh-pi-tui-shim

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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.