dsh-tool-browserNative browser automation tools for DeepSeek Harness, powered by Playwright + Edge
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Find task management, document processing and everyday workflow automation plugins.
dsh-tool-browserNative browser automation tools for DeepSeek Harness, powered by Playwright + Edge
dsh-tool-goalmeshHost-side GoalMesh coordinator and model-facing tool for DeepSeek Harness.
dsh-tts-bridge朗读桥:把 DSH 会话里的话,交给你自己浏览器里登录的 DeepSeek 网页端朗读出来
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yuuyuko-uu/dsh-tts-bridgedsh-usage-dashboard-plusDeepSeek Harness (dsh) web plugin: API balance + today's spend sidebar widget, /api/dsh-usage route, external vision-call accounting (JSONL usage log), plus a full per-session usage dashboard (call log, per-model stats, cache rate, CSV export) via the usageDashboard session projection — merged from dsh-stats-dashboard.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:1HelloMan1/dsh-usage-dashboard-plusdsh-usage-footerDSH web plugin: a floating usage/cost button with a hover panel (account balance, peak/off-peak bracket, cost estimate, session tokens, today's spend) and a General-settings on/off toggle, backed by the loopback-only GET /usage-status host route
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:1514100951/dsh-usage-footerdsh-usage-monitorSession-log usage dashboard for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NOirBRight/dsh-usage-monitordsh-usage-pluginToken usage statistics for the DeepSeek Harness: sidebar trigger + modal panel (day / model / session / workspace grouping, subagent folding, token ranking) over a read-only cross-session aggregation service
dsh-verifyWitness — the quality gate for agent-built web apps. Independent browser acceptance testing: CLI, MCP, AI-drafted checklists, visual regression, multi-browser. Agents self-test and pass; real browsers tell the truth.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:263311487-ux/dsh-verifydsh-web-enhancedWeb-enhanced plugin for DeepSeek Harness: task board with cron scheduling, git graph, preview/files/SCM right panel, DeepSeek balance line, and image understanding for text-only models
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:banlanzs/dsh-web-enhanceddsh-workbenchA right-side file workspace for DeepSeek Harness Web.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lee259/dsh-workbenchdsh-workbench-tipharethDeepSeek Harness Web UI 工作台(tiphareth 定制版):四列 IDE(聊天 / CodeMirror 编辑器 / 文件与 Git / xterm 终端),支持本地与 SSH 工作区;可配置扩展到任意路径
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tiphareth0/dsh-sshworkspaces#d5d11e6c02ca02a46961da7c166f78ea6b371099&path:packages/dsh-workbench-tipharethdsh-workspace-explorerVS Code-style workspace file explorer for the DeepSeek Harness Web GUI: file tree with language-colored SVG icons, syntax-highlighted editor, in-window edit & save, rename, new file/folder
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:3911ee/dsh-workspace-explorerdsh-workspace-hygieneA DeepSeek Harness plugin that actively assesses artifact value and keeps agent workspaces organized, auditable, and recoverable.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:taoshi1999/dsh-workspace-hygienedshwPR workflow plugin for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kermanx/dshwknotline-dshA single project operating map for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MrMaii/knotlinemeow-memoryCross-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 nightly dream consolidation.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Phant0Meow/dsh-memory-meowmindspace-dsh-session-memoryEditable, session-isolated personalization memory for DeepSeek Harness
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Spirtxiaoqi7/mindspace-dsh-session-memoryorbit-runtime-ui-testsLocal-first, durable workflow runtime for Agent Apps—compile static Workflow DSL to LangGraph and orchestrate trusted multi-agent execution through Codex, WorkBuddy, DeepSeek Harness, or any MCP client.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TNJ2026/orbit-runtimepromptaflow-ui-testsLocal-first, durable workflow runtime for Agent Apps—compile static Workflow DSL to LangGraph and orchestrate trusted multi-agent execution through Codex, WorkBuddy, DeepSeek Harness, or any MCP client.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TNJ2026/promptaflowrecowork-dshSafe RecoWork workspace tools for DeepSeek Harness.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:recoluan/recowork#e79fe9e296d77fc8cd7c3526e386a5db69eb352c&path:packages/recowork-dshtencentcloud-agentobs-sdk-dshTencent Cloud Service CLS observability plugin for DeepSeek Harness — direct upload to Tencent Cloud CLS
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:TencentCloud/tencentcloud-agentobs-sdk-dshwidget-dockDSH plugin: a draggable workbench of mini-cards (API balance, token usage, session stats, goal, cost estimate) beside the conversation
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:MorGogh/widget-dock@agentsoul/dsh-agentsoulAgentSoul for DeepSeek Harness — a local personality, identity, state and long-term memory layer. Auto-loads as a bundle plugin on every dsh startup.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yuhui-sama/dsh-agentsoul@apodemakeles/dsh-token-dashboardDSH web GUI token-consumption heatmap: a daily/weekly total-token usage panel fed by session-log usage events
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:apodemakeles/dsh-token-dashboardUse 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.
Review compatibility, dependency ranges and instructions, then copy the available install command.
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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.