Discover The Best DSH plugins

Agent collaboration · DeepSeek Harness plugins — Page 84

7205results

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

dsh-llm-volcengine

Volcengine Ark Agent Plan & Coding Plan providers for DeepSeek Harness (DSH), with verified thinking-effort compatibility

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Badakonpro/dsh-llm-volcengine
dsh-llm-web-bridge

DSH web plugin: bridge to third-party web LLMs (Gemini, ChatGPT, Doubao, custom) — agent-driven consult_llm tool with review/code-review/adversary/verify roles, text-log primary UI with on-demand live view, named sessions, token metering, headed/headless browser daemon.

Agent collaboration · Interface extensions · Developer tools · Integrations · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HuangYuKaiLI1031/dsh-llm-web-bridge
dsh-macos-computer-use

AX-first computer use on macOS for DeepSeek Harness: accessibility-tree targeting instead of screenshot coordinate guessing, window-scoped input, action read-back verification, blank-frame-checked screenshots, and optional Jev (TypeSafe System One) semantic guards before irreversible actions — bridged to the macos-cu CLI.

Skills · Agent collaboration · Vision tools · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Sur-Cai/macos-computer-use-kit#1f805825983a0cfb2283fa912c61b8823abe0246&path:packages/dsh
dsh-manager

🐳 DeepSeek Harness 安装与管理工具 — 一键安装、插件市场、版本管理

Agent collaboration
dsh-market-github

In-harness plugin market for the dsh web GUI — startup-page onboarding entry + real-time GitHub topic:dsh-plugin search with pagination, one-click install with never-lost progress, trial-boot verification, enable/disable, and one-click restart.

Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:loker66fan/dsh-market-github
dsh-matlab-mcp

DeepSeek Harness (dsh) profile bundle that registers the MathWorks MATLAB/Simulink MCP server into the GUI so agent sessions get mcp__matlab__* tools.

Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:James-web11/dsh-matlab-mcp
dsh-medseek

Clinical documentation toolkit for DeepSeek Harness: SBAR and I-PASS handovers, SOAP and APSO notes, admission H&P, discharge summaries with pending-results enforcement, patient-instruction readability scoring, HIPAA Safe Harbor de-identification, and cited FDA label/FAERS/recalls/Drugs@FDA, MedlinePlus, PubMed/PMC/Europe PMC, and ClinicalTrials.gov (search/details/eligibility/investigators/endpoints) lookups. Drafts only; not a medical device.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Mr-Neutr0n/dsh-medseek
dsh-memory-gate

Retrieved ≠ injected: CBDC-gated memory for DeepSeek Harness — decides how memory is USED (use/verify/ignore decisions, feedback learning, full audit); local SQLite + FTS5, bounded, no extra model call

Memory and knowledge · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:GIT121995/dsh-memory-gate
dsh-memory-pyramid

给 DeepSeek Harness 补上时间轴记忆:定宽只追加的事实日志 + agent 自己维护的摘要金字塔,固定阅读预算下 recall 成本不随记忆量增长。

Memory and knowledge · Agent collaboration · Financial data
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:33moren33/dsh-memory-pyramid
dsh-memos-bridge

DeepSeek Harness bundle that bridges the MemOS memory service into the agent over MCP: add, search, update and manage memories as native tools (mcp__memos__*).

Memory and knowledge · Agent collaboration · Integrations
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Swd146296/dsh-memos-bridge
dsh-meta-orchestrator

A model-native meta-agent plugin for DeepSeek Harness: the model synthesizes task-specific workflows at runtime from five agentic workflow patterns (prompt chaining, parallel workers, router, supervisor, evaluation loop) and coordinates tools and subagents — without fixed pipelines, templates, or hard-coded routing.

Agent collaboration · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:jiruidai/dsh-meta-orchestrator
dsh-minimal-ptc

DeepSeek Harness 极简 PTC 预设:简洁提示词、run_code 工具编排、完整插件工具,以及 Windows Git Bash 和持久 PowerShell。

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:STARDUSTLC666/dsh-minimal-ptc
dsh-minimal-web

DeepSeek Harness agent preset: minimal-mode with web search and AGENTS.md loading (极简模式(网络)).

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Moeblack/dsh-minimal-web
dsh-mnemon

Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.

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

Mnemosyne 永久记忆插件 - 为 DSH 提供长期记忆、向量搜索和 LLM 反思功能

Memory and knowledge · Agent collaboration · Developer tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:fjzzwxp/dsh-mnemosyne-memory
dsh-modellix

Modellix Design, LLM, and Web providers for DeepSeek Harness

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Modellix/dsh-modellix
dsh-models-plus

DeepSeek Harness profile bundle: adds a configurable loopback local route proxy for OpenAI/Anthropic APIs, integrated via settings.models.footer slot.

Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:gongstudent/dsh-models-plus
dsh-moments-aieo

AIEO (GEO/AEO) diagnosis → positioning → content → monitoring skill bundle for DeepSeek Harness

Skills · Agent collaboration
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Kenerlee/dsh-moments-aieo
dsh-monitor

Persistent watchers that wake the DeepSeek Harness agent when new messages arrive — the harness analog of Claude Code's Monitor tool.

Agent collaboration · Notifications · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:AbnerAI/dsh-monitor
dsh-more-agent-presets

多个可选择的 DeepSeek Harness Agent Presets 集合

Agent collaboration · Developer tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:R-LEI2536/dsh-more-agent-presets
dsh-move-rag

Local knowledge base for DeepSeek Harness that lives on your desktop: drag files onto an always-on-top icon to ingest them, search them from the same panel, and let the agent query them.

Memory and knowledge · Agent collaboration · Interface extensions
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:xingmen-1/dsh-move-rag
dsh-multi-model-provider

Register models, assist with portraits, and select the Agent model from a secret-free catalog for DeepSeek Harness.

Agent collaboration · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:AlexKaiqi/dsh-multi-model-provider
dsh-multi-tenant-projects

Project-scoped one-shot users for DSH: project/user dual workspaces with symlink isolation, cwd session bucketing, soft guard, and a built-in admin UI. Best-effort isolation (honnet gens) — not a hard security boundary.

Agent collaboration · Interface extensions · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:king-bcolor/dsh-multi-tenant-projects
dsh-notify

dsh web notify plugin: browser Notification + native Windows toast when an agent turn (task) finishes

Agent collaboration · Notifications · Interface extensions

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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.