Discover The Best DSH plugins

Productivity · DeepSeek Harness plugins — Page 6

5437results

Find task management, document processing and everyday workflow automation plugins.

@deepseek-ai/dsh-client-ui-agent-preset

Agent-preset surfaces: the default for later sessions, this session's seat, and the composition editor

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-directory-picker-browse

In-app directory browsing surface: the workspace directory-flow owner rendering the host's listing and creation primitives

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-directory-picker-native

Native directory-picker surface: the renderless workspace directory-flow occupant driving the host's OS chooser

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-goal

Session goal surface: GoalBar docked above the composer, read from the goal session projection

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-jobs

Session-header background-job list: live registry state mirrored from session/jobs frames

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-model-selection

Model selection over the shared model catalog, Session projection, and session.selectModel

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-open-in-app

Web Session-header "Open In..." split button opening the session workspace directory in a locally installed application

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-permission-presets

Permission surfaces: a new-session default in General settings and a current-session /permission popup over the permissions projection

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-reference

Unified Web @file and @session reference source

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-schedule

Read-only active Schedule catalog in the Web Session header

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-client-ui-session

Session Controller adapter for React and session-scoped slots

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
@deepseek-ai/dsh-headless

The dsh one-shot bundle: a direct core Agent/Session runner over dsh-base with no Host, HTTP, or browser layer

Memory and knowledge · Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:See-Sol-Lab/DeepSeekGUI#f8fae741698467d001e73dab9f46355ead23a716&path:packages/bundle/headless
dsh-ego-browser

ego-browser (ego-lite) integration plugin for DSH: structured browser-automation tools (30+ ego_*) that drive the vendored ego runtime through ctx.subprocess, plus a realtime watch panel (live SSE screencast + direct mouse interaction + download capture + human-verification notice). Web shell: floating watch panel without dsh-better-sidebar, sidebar tab with it. Headless/TUI hosts: tools-only. [0.1.2-rc.1: verified compatible with DSH v0.1.2-rc.1 and v0.1.3-alpha.1]

Agent collaboration · Interface extensions · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Fisfzy/dsh-ego-browser

gal-view

★ 174
gal-view

DSH Web GUI 会话页的 GAL 视窗:Galgame 风格对话视图 + 场景元素可视化编辑器

Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ayase34/gal-view
dsh-lowtide

lowtide: human-adjudicated off-peak batch task pipeline for dsh (peak/valley pricing aware)

Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:KelaoHu/dsh-lowtide#bc0eec546db7efbe691b37fa4dd43e8f24402c0b&path:packages/dsh-lowtide
lowtide-core

Platform-agnostic core logic for lowtide (windows/pricing/model/digest/scheduler/ledger)

Agent collaboration · Interface extensions · Productivity
dsh-auto-review

Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent decides allow/deny on the approval answerer chain, with fail-closed fallback and full session-log audit.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:PerryLink/dsh-auto-review
@zseven-w/dsh-ios

DeepSeek Harness plugin for the iOS Simulator — build, run, and interact with a live simulator stream inside a conversation. Tested with DSH 0.1.0-rc.6.

Agent collaboration · Vision tools · Interface extensions · Developer tools · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ZSeven-W/dsh-ios

dsh-mnemon

★ 156
dsh-mnemon

Three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, smart routing, supervised agent workflows, WebUI, and headless tools.

Memory and knowledge · Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Grivn/dsh-mnemon
dsh-chat-import

Import Claude Code / Codex / ChatGPT / Cursor / Gemini / Reasonix / Pi Coding Agent / opencode / ZCode / Grok Build / OpenClaw / Hermes / Kimi CLI / Qoder CLI / WorkBuddy conversation histories as resumable DeepSeek Harness sessions

Agent collaboration · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Nwflower/dsh-chat-import
@ychris12138/dsh-usage-stats

Token usage, provider accounts, session cost estimates, budgets, and exports for the dsh web GUI

Financial data · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ychris12138/dsh-usage-stats
dsh-memory-evolve

为 DeepSeek Harness 带来分层记忆(全局 / 用户 / 项目 / GIT 分支 / 每日)与自我进化(经验沉淀 + 技能自动创建)和技能管理、待办管理、CLI 调度(kimi/codex/grok/hermes 等外部 AI 统一调度)、临时信息便签,带 WebUI 管理界面。Hermes-style long-term memory, self-evolution, skills, todos and external CLI agent dispatch for DeepSeek Harness.

Memory and knowledge · Skills · Agent collaboration · Interface extensions · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:csyangwen/dsh-memory-evolve
dsh-antibrow

DeepSeek Harness plugin: an agent browser with a persistent identity - engine-level fingerprint spoofing, per-profile cookies and passkeys, residential proxy egress.

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

baro-dsh

★ 120
baro-dsh

baro as a DeepSeek Harness subagent provider: delegate a multi-story goal, get parallel execution, independent review and a verified outcome back — with a live run panel in the sidebar

Agent collaboration · Interface extensions · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jigjoy-ai/baro#f9a610774532fdde578b656dd838766e1173c4fc&path:packages/baro-dsh

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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.