dsh-local-linkDeepSeek Harness plugin for lightweight LAN access to the current Web UI from phones, tablets, and other computers.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:donoteatme/dsh-local-linkDiscover The Best DSH plugins
Integrations · DeepSeek Harness plugins — Page 93
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Find plugins that connect external services, APIs and business tools, with setup information.
dsh-local-llmDeepSeek Harness plugin for local GGUF models without Ollama
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wertyBSd/dsh-local-llmdsh-local-visionUniversal local vision bridge tool for DSH: describe/answer questions about images via any OpenAI-compatible local inference framework (llama.cpp / Ollama / LM Studio / vLLM), vision models auto-detected
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:hyls9527/dsh-local-visiondsh-locale-zh-twDSH 繁體中文（臺灣）語系，使用 zhtw-mcp 校正
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:iceice666/dsh-locale-zh-twdsh-lookhere
★ 0dsh-lookhereDSH 插件：lookhere.help AI 知识库客服 — 机器人管理与问答
dsh-loopback-bridgeUnlock DSH Web settings and credentials when you open the UI from a LAN IP or public hostname
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:johnhom1024/dsh-loopback-bridgedsh-lsp-bridgeBridge DeepSeek Harness to language servers for read-only code intelligence, with multi-language configuration, multi-root workspace support, and session-scoped server reuse.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:voidmind26/dsh-lsp-bridgedsh-maclens
★ 0dsh-maclensBridge Apple's on-device Vision framework (macOS) into DeepSeek Harness: OCR, image classification, face detection, and document layout as local dsh tools. No network, no API key, no daemon.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Harzva/dsh-maclensdsh-macos-calendarDSH host-side plugin: real macOS Calendar integration (create/list/query/delete events via AppleScript) for DeepSeek Harness agents
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:nicecx/dsh-macos-calendardsh-maestro-runtimeDSH runtime adapter for maestro-flow: guard, workflow context, KG sync, delegate notifications, team heartbeat, and coordinator bridge.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhao-wuyan/dsh-maestro-runtimedsh-maf
★ 0dsh-mafMicrosoft Agent Framework (MAF) integration for DeepSeek Harness: validate, run and scaffold declarative agents and workflows defined in YAML, through native dsh tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:WODE25500/dsh-mafdsh-mail-assistantStandards-based IMAP/SMTP mail assistant for DeepSeek Harness with explicit read/send controls and approval-aware delivery
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:freedomkk-qfeng/dsh-mail-assistantdsh-managed-approvalCodex-inspired managed approval for DeepSeek Harness: risk-based MCP review, one-time grants, explicit denials, and human fallback on reviewer failure.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jalllychun/dsh-managed-approvaldsh-mate
★ 0dsh-mateDSH Mate（求索伴侣）电脑端桥插件：为鸿蒙 App 提供配对、移动 REST API 与事件推送，远程查看与操作 DeepSeek Harness。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:RevolutionLA/dsh-mate#e1b4aa4cb4940efb47fe522b55aca7af888ee07c&path:packages/dsh-matedsh-matlab-bridgeDeepSeek-MATLAB file-IPC bridge tools: ping/eval/editor/workspace + Simulink model tools.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:rencl3/dsh-matlab-bridgedsh-matrix-agentMatrix agent bridge for DeepSeek Harness (dsh): multi-twin per-room agent sessions, in-chat approval, media/rich-text/reply/edit-aware message intake
dsh-mcp-adminMCP admin for dsh: /mcp server status and per-profile MCP server management (add/edit/delete/enable) from the settings page, via a typert remote.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:kairoz9/dsh-mcp-admindsh-mcp-bridgeExpose DeepSeek Harness tools as a standard MCP server (streamable HTTP) — drive dsh from Claude Code, Codex, or any MCP client. 把 DSH 工具集暴露为标准 MCP Server。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:liiiubai/dsh-mcp-bridgedsh-mcp-builderSQL 优化模式：EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents（38k★ MIT）启发。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:satan9394/dsh-mcp-builderdsh-mcp-client-plusDeepSeek Harness MCP client bridge with OAuth 2.1, connection/discovery timeouts, environment-indirected secrets, optional indefinite reconnection, and a mcp_status diagnostic tool
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:anthonyyu-verkada/dsh-mcp-client-plusdsh-mcp-davinci-resolveDSH bundle: register Blackmagic DaVinci Resolve 21.1+'s built-in MCP server, so any DSH instance (CLI or desktop) can drive Resolve. 把达芬奇内置的 MCP 接进 DeepSeek Harness。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wangbodbs/dsh-plugins#7d6805d3e650d7766bbd141290f5ba39f1bc9344&path:packages/dsh-mcp-davinci-resolvedsh-mcp-flapiDSH bundle: register FilmLight's official FLAPI MCP Assistant (flapi-dev-mcp) so any DSH instance can write and run Baselight / Daylight FLAPI scripts. 把 FilmLight 官方的 FLAPI MCP 接进 DeepSeek Harness。
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:wangbodbs/dsh-plugins#7d6805d3e650d7766bbd141290f5ba39f1bc9344&path:packages/dsh-mcp-flapidsh-mcp-hub
★ 0dsh-mcp-hubDSH 的 MCP 与工具一键部署中枢（桌面优先 / Windows 友好）：设置页一键装机、在线智能搜索（官方 Registry/npm/GitHub）并与 DSH 原生工具去重、调用权限分级（询问/本会话/永久/禁用）、内置终端，以及 7 个零依赖内置 MCP 服务（61 个工具）
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:JD579g/dsh-mcp-hubdsh-mcp-hub
★ 0dsh-mcp-hubdsh-mcp-hub
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xlin20021/dsh-mcp-hubFind the right plugin, then get started
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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.
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No. Detail pages show recorded compatibility and dependency ranges. Unknown does not mean compatible; check the project documentation before installing.
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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.