Plugins

Unify third-party plugin settings in DeepSeek Harness. Auto-discover, group, and reorder plugin settings under one collapsible nav entry with drag-and-drop support.

Matches prompts to installed skills for automatic activation, applies skill-declared lifecycle hooks and tool policies, and manages GitHub-hosted skills from Settings or the skill_manager tool.

DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.

LaTeX and BibTeX guardrails for DeepSeek Harness: compile checks with automatic xelatex/lualatex detection, BibTeX entry deduplication and field filling from Crossref, and \cite key audits against the .bib file.

Computer use plugin for DeepSeek Harness: one plugin composing the computer seam, a Playwright provider, and the computer_* tools

Automatic, bounded type context and edit diagnostics for DeepSeek Harness

Zero-config per-turn git checkpoints: after every completed agent turn in a git workspace, stages all changes into one tagged \[turnsnap] commit (serialized queue, sandbox-policy aware), so any turn is a rollback point.

Yuque knowledge base as external memory for dsh — auto-injects matching document fragments into conversation, with catalogue search, cloud full-text search and online reading.

Auto-continue for the dsh web GUI: when a local model hits its output-token cap and the max-tokens notice appears, the plugin automatically queues a short continue message so the reply keeps flowing — dual-source truncation detection, loop protection, and no UI.

dsh-think-autoexpand：让 DeepSeek Harness 里的 Think 思考行始终可见，并在流式输出时自动展开，实时查看 Agent 完整推理过程；保留工具卡折叠体验。

DeepSeek Harness 无人值守任务队列插件：丢 .md 进收件箱 → AI 自动执行 → 产出报告

Bridges images into text for DeepSeek Harness: when the session's selected model cannot see images, a configured vision model describes them and the descriptions enter the durable session history as folded context rows — your message stays untouched.

Display companion for dsh-vision-router: keep Auto Vision routing, and put a square picture button on each original model row. Does nothing unless dsh-vision-router is installed.

Memory triage for DeepSeek Harness: at the end of each turn it decides which entries to keep and which to archive, routes project-specific ones into a project bucket while global ones stay in the main store, merges near-duplicate entries, and falls back to an LLM when the rules are unsure — automatic actions are recoverable archives only, never deletions.

ego lite for DeepSeek Harness, with a memory it keeps: the agent recalls what it learned about a site before it acts, promotes a script that worked into a reusable site tool, and hands you the keyboard through a real dsh prompt when a page needs a human.

Live-editable Markdown notes in the DeepSeek Harness sidebar, with source mode, safe file CRUD, and autosave.

Turn codebase smells into an executable, priority-ordered refactoring plan: file-length / deep-nesting / function-length / god-object heuristics plus a staged runbook (read-only, no auto-rewrite).

Vision browser tool: drives real Chrome over CDP with browser-use and reads the page with deepseek-v4-flash-vision-exp, so canvas text, text baked into images and values in rendered charts are readable; returns JSON validated against a caller-supplied schema and reports per-run token cost.

Durable heartbeat and cron automations for DeepSeek Harness

a dsh plugin that helps you to automatically generate, evolve and manage your dsh plugins

Run live iOS simulators and your real iPhone over USB inside DeepSeek Harness conversations with 22 agent tools, MJPEG previews, and SwiftUI hot reload.

Windows computer-use capability for DeepSeek Harness: screenshot → vision model → simulated mouse/keyboard input, with self-evolving knowledge base.

Firefox browser control for DeepSeek Harness: token-authenticated WebSocket bridge + text-first browser_* tools driving the user's own Firefox via the companion AMO extension

Linux crontab-style scheduled tasks for DeepSeek Harness: the LLM can schedule recurring workflow runs and prompt-driven tasks with cron expressions, plus proactive task suggestions inferred from the chat.