10 Essential DeepSeek Harness Plugins to Turn AI into a Production System

Plugin Philosophy: Assembling Agents from Plugins

DeepSeek Harness adopts an "Everything is a plugin" design. Unlike traditional "Agent + Plugin" models where a fixed agent gets extensions, Harness treats the agent itself as a composition of swappable plugins: model, tools, skills, sandbox, storage, scheduler, and UI. This modular approach lets developers freely combine capabilities.

Three Core Advantages

Everything is a plugin – Agents are assembled from interchangeable components.

Full traceability – Complex agent executions remain observable, not black boxes.

Capability solidification – Evolution from prompts to skills, tools, code, hooks, and workflows shifts from "reminding AI how to act" to "system-guaranteed execution."

10 Essential Plugins

1. dsh-market

One-liner: The ecosystem's entry point – a plugin marketplace inside DSH.

Repository: https://github.com/dsh-market/dsh-market Install: dsh plugin --profile web add dshmarket Hosts 3,200+ plugins. Search "computer" to find browser/desktop automation plugins for web interaction, button clicks, form filling.

2. modlens

One-liner: 3.7k stars; leading vision plugin that adds image understanding via OCR, layout, and semantic analysis before passing to text model.

Repository: https://github.com/liustack/modlens Install:

npx -y @deepseek-ai/dsh plugin --profile web add @liustack/[email protected]

DeepSeek's main model is text-only; modlens bridges the gap. Paste screenshots directly – it returns OCR text plus layout analysis. Useful for charts, error logs, flowcharts, UI mockups. Requires separate vision model API key configuration.

3. dsh-web-ui

One-liner: 6.4k stars; highest-starred DSH plugin, adding task board, Git graph, real-time token stats, and desktop pet.

Repository: https://github.com/zhu1090093659/dsh-web Install: dsh plugin --profile web add @linxin666/dsh-web-all@latest One command extends native dsh web with task board, right-side file panel, image understanding, SSH ops, and skin center. Uses official profile mechanism – no source changes; uninstall cleanly with one command.

4. DSH-better-sidebar

One-liner: 3.1k stars; developer-focused sidebar workspace.

Repository: https://github.com/omdsh-dev/DSH-better-sidebar Install (requires pnpm build approval):

dsh plugin --profile web add dsh-better-sidebar@latest
cd ~/.dsh/profiles/web && pnpm approve-builds --all
dsh plugin --profile web add dsh-better-sidebar@latest

Adds file management, code editor, real terminal, Git panel, and background task monitor – a mini IDE reducing window switching.

5. dsh-at-file

One-liner: Solves high-frequency pain point – quick file referencing.

Repository: https://github.com/FSMargoo/dsh-at-file Install:

dsh plugin --profile web add https://github.com/omdsh-dev/dsh-at-file/archive/refs/tags/v0.6.8.tar.gz

Instead of copy-pasting file contents, use @filename in chat. Ideal for code review, config inspection, batch document processing.

6. deepseek-harness-desktop

One-liner: Official Web UI desktop client – no Node.js setup, Windows/Mac ready.

Repository: https://github.com/ChisaAlter/Deepseek-Harness-Desktop Runs in system tray; skips environment configuration entirely.

7. dsh-web-search-pro

One-liner: Enhanced multi-source search aggregating DeepSeek, Bing, Exa, with targeted scraping for Xiaohongshu, Zhihu, Bilibili; supports local caching.

Repository: https://github.com/anweat/dsh-web-search-pro Version note: dsh-web-search-pro >= 0.1.8 requires @anweat/dsh-browser >= 0.1.8 – upgrade both together.

8. OpenViking

One-liner: Self-evolving context database unifying memory, knowledge RAG, and skills.

Engine: https://github.com/volcengine/OpenViking DSH integration (community): https://github.com/Rxiain/dsh-openviking Positions itself as a database, not a vector store. Converts fragmented conversations into long-term memory and RAG. Model recalls prior project context across sessions.

9. dsh-cost-meter

One-liner: Session cost tracking for DSH Web UI.

Repository: https://github.com/Han-1413141/dsh-cost-meter Converts token usage to USD using official $/1M token pricing and peak/off-peak windows; syncs pricing from official page; reads balance via user/balance API. Alerts on budget exceed but does not block requests.

10. dsh-session-library

One-liner: Local document hybrid retrieval + long-form deep reading; auto-splits lengthy PDFs into claims and evidence chains.

Targets researchers, contract reviewers, report analysts. Pair with OpenViking (plugin 8) to turn Harness into a persistent second brain.

Closing Perspective

As models grow stronger, differentiation shifts from "who is smarter" to "who builds better systems." DeepSeek Harness moves agents from fixed products to composable work systems – from writing prompts to engineering harnesses, from reminding AI to system-guaranteed execution.

Discussion Topics

Agent = Model + Harness: Will future competition hinge on model or harness? Why?

Which of these 10 plugins would you try first?

Does capability solidification (Prompt → Skill → Tool → Workflow) increase controllability or dependency?