Discover The Best DSH plugins

Agent collaboration · DeepSeek Harness plugins — Page 139

7302results

Explore agent orchestration, multi-agent collaboration and task execution plugins.

dsh-lark-bot

Bridge DeepSeek Harness (dsh) into Feishu / Lark with streaming cards, project workspaces, approvals and scheduling

Agent collaboration · Developer tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tarraencompassing61/dsh-lark-bot
dsh-lark-bridge

A DeepSeek Harness (dsh) plugin that bridges dsh agents to Feishu/Lark group chats — one group, one project directory.

Agent collaboration · Developer tools · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bihangchi9-creator/dsh-lark-bridge
dsh-lark-bridge

Bidirectional Lark/Feishu control bridge for DeepSeek Harness

Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:imetn/dsh-lark-bridge
dsh-lark-channel

Lark/Feishu IM bot channel for DeepSeek Harness: chats drive agents, replies and approvals return as messages and cards

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:omdsh-dev/dsh-lark
dsh-learn-wiki

边做边学知识库:CRAG 式纠错检索(L1 Markdown wiki + L2 Hindsight)→ 未命中后台经 L3 限流联网补料 → 蒸馏落 staged → 两段式 commit 升入 L1。

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Dayi-Z/dsh-learn-wiki
dsh-lens

Real-time code feedback for DeepSeek Harness — LSP, linters, formatters, type-checking, and structural analysis.

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:NexusAgentX/dsh-lens
dsh-lifecycle-inspector

Visual lifecycle diagnostics for DeepSeek Harness plugins, Cordis Effects, and teardown outcomes

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Rex16200513/dsh-lifecycle-inspector
dsh-light-memory

DSH Web GUI 轻量记忆系统:四个大写 Markdown 文件(USER.md / PROJECT.md / WORKLOG.md / CONVENTION.md)+ 两个动作(append 流水 / distill 沉降)。零外部依赖,只用 Node 内置模块;文件可视化、可 diff、可 git 管理。

Memory and knowledge · Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chidaic/dsh-light-memory
dsh-lightroom-py

Adobe Lightroom Classic for DeepSeek Harness (dsh) — mounts the lightroom-py MCP server as native dsh tools. Pure-config bundle inside the lightroom-py repo; the Python package comes from PyPI (pip install lightroom-py).

Skills · Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:drshy-org/lightroom-py
dsh-linghun

灵魂(Linghun)— 给 DeepSeek Harness 装一个会思考的自我。一张灵魂卡自定义四个字段:姓名、性格、沟通风格、其他——我是谁,由你亲手写;认知循环让判断有来处、反馈有归因、改进不断链;海马体把经历沉淀成知识与经验,踩过的坑下次不踩。不是人设卡,是判断力。

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:syyr1987/dsh-linghun
dsh-liquid-glass

DeepSeek Harness 液态玻璃:点一下,整个界面通透起来。透明度随心调,背景图自由换——让你的 Agent 住进风景里。Liquid glass for DeepSeek Harness: one toggle to turn the whole shell translucent, with a live opacity slider and a custom full-page background.

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ultronen/dsh-liquid-glass
dsh-literature-search

Model-callable literature_search tool for DeepSeek Harness: wraps <工具目录>\paper-search.py (OpenAlex cited-sort + arXiv relevance) so the agent searches literature with one structured tool call instead of reading a skill body and running a shell command.

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Ln1m/dsh-literature-search
dsh-live-loop

DeepSeek Harness frontend runtime verification: detect, run, preview, interact, diff, and prove local web apps.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:POWERRRRRRRR/dsh-live-loop
dsh-llama-responses

DeepSeek Harness plugin: run subagents on a local llama.cpp model via the OpenAI Responses (/v1/responses) protocol, with a subagent delegation skill

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:SnowRikka/dsh-llama-responses
dsh-llm-fallbacks

Automatic provider/model fallback chains for DeepSeek Harness agents when LLM requests keep failing (retry exhausted, auth, quota, rate limit)

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:btspoony/dsh-llm-fallbacks
dsh-llm-nous

Nous Portal OpenAI-compatible LLM adapter bundle for DeepSeek Harness

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:patrickluvsoj/dsh-llm-nous
dsh-llm-quota-retry

Keep a DeepSeek Harness agent step alive through an exhausted account quota: after the base provider retry policy gives up on a QUOTA failure, retry the same request once per hour without an attempt limit, and publish the entering, leaving, and current state of that long-term retry to other plugins.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:windwhiterain/dsh-llm-quota-retry
dsh-llm-rate-limit

LLM API rate limiting, concurrency control, queuing, and adaptive cooldown for DeepSeek Harness

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Asong6824/dsh-llm-rate-limit
dsh-llmwiki

Local Markdown wiki as long-term memory for DeepSeek Harness — ported from llmwiki

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:chancelu/dsh-llmwiki
dsh-longrun-suite

DeepSeek Harness long-run mission suite: mission control, Long-Run Captain preset, patched LLM-as-a-Verifier, self-wake timer.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GMH13552/dsh-longrun-suite
dsh-lookseek

A readable isometric visual workspace for DeepSeek Harness agents

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:lhwu1/dsh-lookseek
dsh-macos-pet

Always-on-top macOS desk pet for the DeepSeek Harness, with a native menu and DIY skins. Shows what your agent is doing: working, waiting, finished, failed. Seven skins, or make your own from one image. No dependencies.

Agent collaboration · Vision tools · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Dkrillex/dsh-macos-pet
dsh-magic-context

Magic Context — DeepSeek Harness adapter (Host / Agent / Client + profile bundle). Loads the shared Magic SQLite store and registers ctx_* tools, /ctx-* commands, knowledge injection, historian/dreamer scheduling, compaction policy, and the Typert Remote surface for the DSH client.

Memory and knowledge · Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xiaohj233/dsh-magic-context#04680ebae5582e2e5ead261b8a6f13a726103a4e&path:packages/dsh-plugin
dsh-maid-emoji

智能体表情包系统:随插件内置默认表情包(零配置即用),也支持添加任意自定义表情包文件夹;智能体在回复中用 ::文件名:: 标记引用表情,Host 端自动转写为图片,让回复更生动可爱。

Skills · Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:plolpl789/dsh-maid-emoji

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.