dsh-lattice-runtimeRuntime engine for DSH Lattice V1: event stores, mailbox, state machines, session engine, and projections.
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dsh-lattice-runtimeRuntime engine for DSH Lattice V1: event stores, mailbox, state machines, session engine, and projections.
dsh-launch-padLocal service control deck for DeepSeek Harness: a global per-project service registry with port-conflict arbitration, one-click start/stop/restart buttons in the Web UI, start-command normalization across project types, auto-follow of the active session, and 7 agent tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:realpkuasule/dsh-launch-paddsh-leanDeepSeek bills peak hours at 2x, and peak is 09-12 and 14-18 Beijing time. npx dsh-lean audit shows what your session paid and what it costs off-peak. DeepSeek 峰时按 2 倍计费,峰时正好是上班时间。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:sjh9714/dsh-leandsh-ledgerdsh 只读记账仪表盘插件:复用 beancount ledger.py,在 web 会话页以「记账」Tab 展示本月收支、账户余额、分类结构与最近交易(只读,不记账操作),Fava 保留做深度分析。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fatatalia/dsh-ledgerdsh-left-sidebar-collapseAuto-collapse / fully-collapse the DSH left sidebar on session select, as a standalone installable plugin. General-settings toggles plus a single floating expand button.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:condaThinker/dsh-left-sidebar-collapsedsh-lifelineDeepSeek Harness 右侧消息导航轨道:会话消息刻度 + 悬浮预览抽屉 + 星标回看 + 平滑跳转与回退过滤联动。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Physicolor/dsh-lifelinedsh-limit-timeoutCap how long one DSH tool call may wait: a global default wait limit in Settings, plus a per-session raise the model can request from the user.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:azazo1/dsh-limit-timeoutdsh-live-pricingDeepSeek Harness 实时价格条:高峰/空闲时段、中国法定节假日、当前单价与本次会话花费
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xqtx9527/dsh-live-pricingdsh-live-roomdsh 插件:把会话变成免鉴权、只读、可分享的实时直播间(SSE 观看页 + 弹幕)
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Britneycode/dsh-live-roomdsh-live2d-petLive2D 桌宠插件 for DeepSeek Harness — 浮在界面上的角色,点击即可向会话下达指令并跟随 agent 状态做出反应。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:br0ny4/dsh-live2d-pet#a774cde4245736b49290ef829f5f55615199bb7e&path:packages/dsh-live2d-petdsh-live2d-voiceLive2D session view with realtime voice: continuous voice input, streaming TTS, subtitle translation, multi-model catalog, standalone entry / Live2D 实时语音会话视图:连续语音输入、流式 TTS、字幕翻译、多模型目录、独立入口
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:john-walks-slow/dsh-live2d-voicedsh-livebench-rankingsLiveBench rankings with isolated UI and live official data for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:addie-ace/dsh-livebench-rankingsdsh-livevoiceCodex realtime live voice for DeepSeek Harness: WebRTC + Frameless Bidi + session delegation.
dsh-liya-archives归档会话抽屉(莉娅版):侧边栏底部「已归档 (n)」入口,按工作区分组列出归档会话,点击一键恢复并打开 / 复制为新会话 / 仅移回侧边栏。抄改自 chou109/dsh-archives(MIT,https://github.com/chou109/dsh-archives)。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:feverZHONG/dsh-liya-archivesdsh-liya-workspace-plugin工作区档案速览设置页插件:在 WebUI 设置里新增「莉娅工作区」子设置页,展示 FILE-MAP 摘要、memory/records/diary 统计、最近日记。工作区根目录可配置(设置页填写,即时生效)。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:feverZHONG/dsh-liya-workspacedsh-llm-call-inspectorSession-scoped LLM request and response inspector for DeepSeek Harness Web
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:striveh/dsh-llm-call-inspectordsh-llm-costPer-turn, per-step LLM cost metering for DeepSeek Harness: a costUsage session projection, a cost line under each message, and an LLM+web price auto-maintenance tool.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chenyinrusi/dsh-llm-costdsh-llm-error-retryDSH (DeepSeek Harness) 插件:大模型请求报错时按规则休眠后自动重试。支持 HTTP 状态码 / 机器码 / provider 返回字段=值 三种命中形态,每条规则独立配置休眠时长与最大重试次数;会话框内显示重试卡片,GUI 设置页实时编辑规则。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liaoyuqing/dsh-llm-error-retrydsh-llm-fallbackSelf-healing cross-provider model fallback for the DeepSeek Harness
dsh-llm-opencode-goOpenCode Go models as a DeepSeek Harness provider, with session-affinity headers, a live model catalog, and a Web settings card
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:scavanger2221/dsh-llm-opencode-godsh-llm-retry-allDSH host plugin: retries EVERY model-gateway error (429, quota, auth, network, ...) with a linear 5s-step backoff capped at 5 minutes, covering agent-loop requests and direct ctx.llm.stream calls (compaction, session title). Max retries configurable in Settings; 0 disables this plugin only.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:mimajiushi/dsh-plugins#1aa8b9d851070af475ca10703d84c000562ef8d7&path:plugins/dsh-llm-retry-alldsh-llm-traceDeepSeek Harness plugin that captures the raw HTTP request and response bodies of model provider calls and shows them in a Conversation View tab and on a loopback viewer page.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wpeng77/dsh-llm-tracedsh-llm-wikiWorkspace-scoped, local-first LLM wiki plugin for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wangning19940904/dsh-llm-wikidsh-lmstudio-routerLocal LM Studio model router for the dsh web GUI: routes unimportant but token-expensive requests (bulk text work, compaction, session titles) to a local LM Studio model over its OpenAI-compatible /v1 endpoint, auto-launches LM Studio when it is not running, and fits every local request into the model's context window (default 8192). Dependency-free host plugin — mounted via cordis.patch.yml + a profile node_modules entry, no dsh source changes.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaoyizhuang03-droid/dsh-lmstudio-routerUse a feature keyword or category, then sort by recent updates or GitHub stars.
Read the description, AI analysis and original README to understand what a plugin does.
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Open its detail page and check the installation section. Copy the command into your Harness environment when available, or follow the project README.