Plugins

Cross-session memory vault: remember / recall / forget tools, per-turn prompt injection, and a settings-page entry browser.

Render local image paths from assistant replies inline in the message body (9 formats, click-to-zoom lightbox, adjustable size).

A DeepSeek Chat-style blue-whale color skin. Light and dark follow the built-in appearance.

Activity heatmap in the DSH Web sidebar: GitHub-style grid of daily commits, token usage, and estimated spend, with a today stats line for all-session token totals, cache hit rate, and per-model auto-priced cost.

Pomodoro focus-and-break timer for DSH Web with configurable cycles, a draggable mini panel, and in-app, sound, and browser notifications.

File-drag fork: drop documents as removable chips above the composer, send without typing.

VS Code-style workspace keyword search tab for dsh-better-sidebar: matches file names and content, grouped by file with line numbers, opens in the sidebar editor.

DeepSeek API balance and 24-hour usage dashboard in Settings, with estimated spend, token counts, request counts, and an hourly timeline.

Turns a DSH deployment into one node of a decentralized agent network — signed agent cards, peer and zone discovery, direct message-routing model tools, and joinable session nodes in the web sidebar.

Host-side connector for the DSH Mobile iOS app: dials a self-hostable WSS relay so the phone can reach the DSH sessions on this computer over 4G/5G, without a public IP or a VPN; the relay only authenticates and forwards.

Finishes 头歌 (EduCoder) homework over the platform JSON API, with no browser automation. educoder_sweep scans every course for homeworks that still have unfinished challenges — complete homeworks are skipped without reading a single challenge, so a full-account scan costs no model tokens — and can finish them; multiple-choice challenges also cost no model tokens, because the platform returns the answer key in any submission response, while code challenges are generated by the model, uploaded with evaluate:0 and graded once per challenge, then retried using the error report the platform returns. Three tools: educoder_sweep, educoder_homework, educoder_account.

Keeps project decisions in plain markdown instead of chat history: one main document plus per-module documents, every entry carrying a file:line citation. The agent interviews you to turn open questions into settled decisions, and a five-dimension score (task complexity, extensibility, maintainability, code quality, reusability) is derived from the documents and shown on a button beside the model picker. A session can bind several projects; projects are sized small/medium/large, which widens the entry limits, and a reusable-pipeline section in the main document is injected when its trigger words appear.

Bring the WorkBuddy accounts signed in on this machine into DSH, managing CN and international accounts separately. Supports automatic failover between accounts, one-click refresh of model catalogs and credits, the CN daily check-in, and a togglable OpenAI-compatible endpoint.

Character cards for DeepSeek Harness: inject a persona section into the system prompt, or rewrite the user message through rule cards before the model sees it. Ships a preset card library, single-file card packs that carry artwork, and a Character tab in the conversation view.

Heads-up Texas Hold'em training with an independent AI opponent, persistent public-action memory, and decision reviews.

Discovers rule files from every convention OMP supports and injects them into the system prompt as an always-apply layer plus a rulebook index, then enforces them with time-traveling stream rules that abort violating output mid-turn, deny a matching tool call, fold a reminder into that call's result, or ask a judge model about the finished reply. The same tool lets the model write new rules, and an audit panel on the Plugins page says why each rule is in force.

Surfaces important facts and trade-offs from the current task, with on-demand explanations and optional discussion in the main session.

Git status badge in the composer tool row: a 14px branch glyph left of the model selector, with branch name, changed-file count and +added/-deleted lines on hover. Counts staged, unstaged and untracked files; nothing renders outside a git work tree.

Cache-first code exploration: the rdd_explore tool queries the project's .rdd/exploration index and, on a miss, dispatches a read-only worker subagent to explore and register findings; rdd_models serves the live model catalog for dispatch-time model selection.

Adds Codex-like no-project drafts with per-project draft switching and date-and-topic directories created on first send; requires the native bridge patch for DSH Desktop 0.2.0-rc.2 on Windows.

Read-only goal-tree status strip above the composer: planners see the full node tree, workers see their claimed node, and worker reports call back to the planner session.

Todoist-style todo management in the sidebar with projects, labels and priorities, CJK-aware natural-language quick-add, repeat rules, a stats dashboard, import and export, seven agent tools and due-time reminders.

Turns each long dsh conversation into a three-level trail (topic to progress steps to milestone timeline) and shows it in a draggable overlay, where one click jumps back to the matching message in the transcript. Topics are distilled by the DeepSeek model with a zero-cost rule-based fallback, can be renamed, locked, merged by drag and drop, and support per-conversation notes plus a vector drawing board.

SapBuddy —— SAP ABAP AI 全能助手（DeepSeek Harness 插件）：41 个 SAP 工具 + 8 个 ABAP 技能 + SapBuddy preset + 连接设置页。一个包名装完。