Discover The Best DSH plugins

DeepSeek Harness plugins — Page 30

20408results

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

dsh-wsl-workspace

WSL workspace support for DeepSeek Harness: add a WSL workspace from the web GUI and run the whole agent session (bash + file tools) inside the WSL distribution, VS Code Remote-WSL style. No toolchain install inside WSL required.

Agent collaboration · Developer tools · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:6Mikao9/dsh-wsl-workspace
@cosyncing/adapter-dsh

Synchronize and Orchestrate agents from CLI to GUI, across desktop to phone.

Agent collaboration · Interface extensions · Developer tools
@huanlin/dsh-plugin-mineru

DSH plugin exposing MinerU document parsing tools to the model, with a web UI settings page for the API base URL.

Vision tools · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HuanLinOTO/dsh-plugin-mineru
ax-feishu-bridge

Feishu/Lark bridge for coding agents — chat with Pi or DeepSeek Harness from Feishu or Lark

Agent collaboration · Developer tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:AX1202/ax-feishu-bridge
dsh-codex-coding-plan

Use an existing file-backed Codex ChatGPT login from DeepSeek Harness

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/coding-plan/codex
dsh-codex-terminal

Exclusive Codex-style exec_command and write_stdin shell tools for DeepSeek Harness

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/codex-terminal
dsh-coding-plan

Combined DeepSeek Harness bundle for Codex and Grok coding plans

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/coding-plan
dsh-doublecheck

Delivery quality gate for DeepSeek Harness: grill the requirements, test the implementation, prove the delivery, and gate the handoff with a deliverable/rework decision.

Skills
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-doublecheck
dsh-gov-portal

Deepseek Harness 综合智能办事平台 — 独立政务风 WebUI(默认端口 3081),通过宿主 apiProxy 1:1 对接 dsh 的会话/模型/权限/统计等全部 Agent 能力

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ExElectron/dsh-gov-portal
dsh-grok-coding-plan

Use an existing Grok subscription login from DeepSeek Harness

Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/coding-plan/grok

dsh-loop

★ 47
dsh-loop

Session-scoped recurring alarms for DeepSeek Harness

Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/loop
dsh-marketing-mindset

A professional marketer's operating mindset as a dsh skill — how to think, decide, and prioritize for any marketing or client-acquisition task. Not a tactical template.

Skills · Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:axelfreeman/marketing-mindset

dsh-maze

★ 47
dsh-maze

The execution maze for DeepSeek Harness agents: see how the agent actually worked — main path, detours and backtracks on one timeline, with data tracks, deterministic analysis, and multi-session comparison

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lamost423/dsh-maze

dsh-mock

★ 47
dsh-mock

Deterministic mock LLM adapter for DeepSeek Harness

Other extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/mock
dsh-preset-builder

A clearer agent-preset inspector for DeepSeek Harness

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/preset-builder
dsh-sessions

Session discovery, creation, message delivery, and plain session-log paths for DeepSeek Harness

Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/sessions
dsh-sidechat

Memory-only read-only side chats for DeepSeek Harness

Memory and knowledge
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/sidechat
dsh-web-startup-auth

DSH remote-aware web-startup replacement + username/password auth plugin: allows --host 0.0.0.0 when paired with the auth plugin

Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GDWhisper/dsh-web-startup-auth
dsh-workbench-ui

A right-side Workbench surface for DeepSeek Harness client plugins

Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/work-bench-ui
herdr-agent-state

Report a pane's agent state (working/blocked/idle, labeled with the current tool), session reference and log path, and session display metadata (title, model, context-usage tokens, state labels) to Herdr via its pane socket. Works in any dsh profile — TUIs, web, headless.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ephemeral-AI-Lab/dsh-plugins#cb9ea007a6b41da06b65f9ed9a86e028eee9e60e&path:plugins/herdr-agent-state
dsh-open-in-vscode

Open a workspace directory in VS Code from the web GUI: an Open in VSCode row in every workspace's overflow menu

Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:omdsh-dev/dsh-open-in-vscode
dsh-pet-remielle

蕾米埃尔(Remielle)桌宠 for DeepSeek Harness (DSH): session-event-driven sticker pet with status bubbles, SSE live updates, and a desktop floating window

Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Gin-7/dsh-pet-remielle
@openquantum/harness-web-branding

OpenQuantum branding and PWA metadata for the native DeepSeek Harness web UI

Agent collaboration · Interface extensions · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xi-zhao/OpenQuantum#2ac317a8bf2b06c83baf9b176637bfe4c39bb6cc&path:packages/openquantum-web-branding
dsh-data-quality

Deterministic data profiling, cleaning, and verification for DeepSeek Harness: a ctx.dataQuality capability seam (Service Definition / local Provider / tool Consumers) with data_profile, data_clean, and data_verify model tools, a frozen cross-plugin verifyCitations contract, durable reports in a storage domain, and data-quality/* session events on hosts that support them.

Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-data-quality

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.