Plugins

Steam Workshop-style in-app plugin browser: search, hot/newest/trending (7/30/90-day) sorting, Chinese keyword mapping, bilingual descriptions and README translation, plugin-signature filtering, and one-click install/update.

A study tab with course-map, tutor and blackboard columns that turns markdown files, local folders or GitHub repos into guided courses, with lesson unlocking, mastery tracking, spaced repetition and a tutor-designed course import.

Hosts QQ chats as DeepSeek Harness sessions: one QQ conversation maps to one DSH session that survives restarts, per-speaker tool permissions, three-layer memory with nightly consolidation, optional QQ-number binding that ties openids to QQ numbers so memories survive a bot or AppID change (binding is voluntary, never required, and never guessed from nicknames), four-section personas, context compaction, a ten-page sidebar panel, and a setup wizard that installs the Roost kernel and ai-chat plugin. Anyone in a paired QQ group can chat with the bot by default; only the owner gets the full local toolset.

Visual conversation map for DeepSeek Harness — sessions as cards on a whiteboard: drag to arrange, double-click to chat, draw an edge to fork with injected context. ADHD-friendly spatial memory. · DSH 可视化对话地图

Two-way sync of DSH sessions, workspace mappings, settings and patches between machines through your own private GitHub repo (API keys stay machine-local).

Smart Charts skill: turns CSV/TSV/TXT/XLSX/XLS/JSON data files into standalone interactive ECharts HTML - 32 chart types including offline maps, 3 themes, no CDN. A --profile data profile (per-column dtype, cardinality, missingness, samples, statistics, entity grain, insight signals) lets the agent read the data and pick the chart itself; each chart embeds a fact sheet (plot_stats + data_preview) whose numbers are the only quotable values. LLM transform code runs in a restricted sandbox (blacklist + AST whitelist + safe builtins); --doctor self-checks the Python environment. Fully offline, ECharts bundled.

🌊 Persistent dock & fully-customizable balance/usage panel for DeepSeek Harness — activity heatmap, dual-channel comparison, local-only & privacy-first

Analyze usage across models, providers, workspaces, and time ranges — including custom start/end dates over the full retained history — with live cache-hit visibility and separate model and provider breakdowns. Includes hourly single-day trends, daily cross-day trends, a 53-week GitHub-style heatmap, usage streaks, model and workspace Token-share donut charts with Token, cost, and percentage details, independent combinable filters, cache-efficiency trends, DeepSeek account balance, workspace aliases, CSV export, and a durable ledger that preserves successfully flushed usage after session deletion — and after a workspace is deleted, where its recorded usage is summed into one Deleted row — and rebuilds incrementally — on restart, unchanged sessions are applied from the ledger without re-reading their logs (a per-session log revision is the change signal), and only changed/new events are folded. The workspace registry is kept fresh automatically through the DSH domain/changed probe: only added/removed workspaces are reprocessed incrementally, unchanged workspaces reuse their computed aggregates and ledger with zero rescan, and usage is strictly limited to DSH-registered workspaces (unregistered cwds are ignored). After a scan, lightweight revision status fetches full history only when the Host/data state changes and exposes non-sensitive sync health (revision reuse, rereads, ledger recovery, and failures). Token accounting is explicit: input is fresh (cache read/write and reasoning are separate buckets) and zero-usage replays never overwrite recorded usage. Chinese uses local time, English uses UTC; API access is loopback-only.

Tool-output repair layer for DeepSeek Harness — JSON schema enforcement, parameter mapping, and JSON repair for tool calls.

Tavily search, extract, map and crawl tools with multi-key rotation, failover on HTTP 401/429/432/433, and a load-balance mode that caps in-flight requests per Tavily account, plus a key and usage card on the Plugins page. The built-in web_search is never replaced.

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.

Windows-only plugin that watches the foreground window title, recognizes Bilibili video courses, classifies them by subject, fetches metadata/danmaku/comments, and generates Markdown + Mermaid knowledge maps and Word study manuals (Word output needs a local Python install).

Model-autonomous context compaction for DeepSeek Harness: a mind_map tool surveys the agent context surface (stable seq ids, roles, token weights, clear-boundary markers, the clear-mind playbook), a clear_mind tool replaces a chosen conversation-history span with a model-written checkpoint through the native compaction transaction, call and result pairs self-collapse into one-line tombstones, and a proactive reminder nudges the model when the context grows long or a turn runs too many steps.

Seven agent-preset modes for DeepSeek Harness, each with a fixed tool boundary, per-mode model routing and fast/deep omd_task delegation tiers, plus a plan-to-execute loop (/mode, /start-work, goal-backed /ulw) and a settings page that remaps models per mode and per tier.

AI-assisted Minecraft for DeepSeek Harness: drive an autonomous Mineflayer agent (survival, mining, chat, live map) with vision/control tools, plus a built-in launcher (Microsoft sign-in, version download, game launch).

Local code intelligence for DSH: Impact X-Ray visualizes potential change impact with inspectable source evidence and uncertainty; also provides symbol navigation, bounded Context Packs and ArkTS support.

eDEX-UI-style shell over the DSH web GUI: system-telemetry left bar with per-core CPU sparklines, encom-globe world-map right bar with up/down traffic chart, filesystem browser with file preview, and a terminal-styled composer that follows the active workspace.

Configures provider and model reasoning-effort mappings for DeepSeek Harness, with a grouped model picker and composer slider.

Usage and cost statistics with peak/off-peak pricing after the 2026-08-17 rate change, a floating summary panel, per-session breakdowns, and a day/week/month/year/all usage heatmap.

Financial quantitative workbench and stock ticker: floating ball and drawer panel, real-time A/HK/US/global market quotes, multi-period K-lines and 5-day intraday charts, depth order book, capital flow, sector heat map, and AI investment research.

Token usage statistics for DeepSeek Harness: per-model daily and range charts plus a yearly contributions heatmap.

Web appearance suite with a 7-theme gallery (each a full 122-token --dsw-* mapping) plus one-click switching persisted in settings, Material You wallpaper color extraction that generates a whole dynamic palette, and a global corner-radius control. Themes ride on the official look system as override layers instead of fighting it, so the official light/dark/auto row stays valid. Frozen archive: keep the pinned version, as the author no longer adapts it to newer DSH releases.

Unified token quota and usage statistics for dsh: multi-vendor rolling/payg quota with sidebar cards and provider ops, plus session-log token aggregation with trends, heatmap, and per-model breakdown. Frozen archive: keep the pinned version, as the author no longer adapts it to newer DSH releases.

Registers the domestic-China trip-planning skill: hour-level daily timelines, 12306 and Trip.com booking deep links, offline KML, and seven HTML themes. Requires Python 3.9+ on PATH (the bundled scripts are standard-library only).