Plugins

Unofficial Zhipu Qingyan (chatglm.cn) web provider — run DeepSeek Harness on web-app credits with a login token, streaming and prompt-bridged tool calls included.

Tauri 2 desktop app for DeepSeek Harness (macOS + Windows; installers on the repository's Releases page) with a built-in dsh runtime: tray-resident launcher with per-profile ports and windows, a process guardian that auto-heals up to three times, local or remote dsh, task-completion notifications with a Dock badge, and a live startup console. This plugin is the app's in-page half — its desktop chrome and notification bridge only take effect when DSH runs inside the desktop app; added to a regular DSH with `dsh plugin add`, it provides the bundled skill for packaging a DSH Web GUI as a Tauri app.

DeepSeek Harness plugin: label several directories inside one workspace and reference them by absolute path. Type @ in the composer to pick a label, manage them from the workspace row or the workspace_dirs tool, and the label table is injected into every

Replaces the sidebar workspace region with a two-tab browser: several workspace roots stay registered side by side while conversations are filed under the real working directory of each session, with a read-only resource tree that previews files in the right sidebar. Hiding is per tab, display-only and fully reversible; a resource folder or file can be copied as a path or dragged into the composer as a native reference, and @ completion covers every registered root rather than the working directory alone.

Deterministic, zero-LLM, byte-budget context compaction for DeepSeek Harness, with byte-exact recall of compacted history.

TRAE-style conversation rollback rebuilt for DSH 0.1.7-rc.2: per-turn file checkpoints restore touched files and truncate the model context in place under the same session id. Adds a /rollback doctor framework-contract self-check, an affected-file diff preview computed against the current on-disk state so it stays correct after a restart, a one-click undo-last action with a Ctrl+Shift+Z shortcut, a setting for whether rolled-back messages stay hidden, and English UI text.

Turns large text pastes into pastes/*.txt attachments with a dock above the composer and a minimal, recognisable badge in the draft.

Per-session prompt profiles for DeepSeek Harness: reusable system-prompt sections, grouped into named profiles, sealed into the session prompt.

Image and video wallpapers for the DSH web workspace: auto-detected GIF/APNG/animated WebP/PNG/JPEG/MP4/WebM backgrounds with blur, brightness and dimming, tint-following UI, per-component transparency, and one-click preset wallpapers.

Google-AI-Studio-style turn controls for DeepSeek Harness, in one install: edit a prompt and re-run it, re-run a reply in place, delete a turn from the model context, and render sent prompts as Markdown. Self-contained: the plugin list shows this one row;

Read-only Skill inspector for DeepSeek Harness. It shows which Skills a conversation actually loaded — from observed loading evidence only — and which Skills the current environment can discover, and gives each Skill a detail page whose left column switches between the framework, the evidence, validation, evaluation, step evidence, run logic, the before/after of a modification when there is one, the definition facts and the raw SKILL.md. Declaration and run stay apart: the body is split into structure, declared workflow and progressive disclosure, the run logic is read from local receipts, and every declared step carries its own evidence — no observed evidence is reported as exactly that, not as executed or not executed, and the run's instruction hash sits beside the current definition as match, mismatch or unavailable. The evidence view gives each subject one of three states (declared, observed, unavailable), walks definition → load → use → outcome, names what each stage cannot reach, declines to attribute an outcome to the Skill, and can copy the snapshot out as byte-stable JSON. Validation checks the Agent Skills open standard and the platform profiles separately, each finding on a rule id and labelled standard compliance or platform compatibility. Evaluation keeps repeatable cases with the conditions each run was recorded under and the four stages of runtime evidence, comparing two runs of one case item by item without scoring them. The trigger boundary keeps should-trigger and should-not-trigger prompts, has you run them in a real new session, then records what was observed — whether a load record appeared and whether it was model-invoked or user-explicit; a typed /name is not a natural trigger, and an absent load record is reported as not observed, not as not triggered. The same projections are exposed to the agent as a read-only skill_review tool, which returns a structured review packet and says what it omitted when the packet will not fit whole. The inspector, the evidence chain and these reviews are computed on this machine from the definition and the session receipts; the Chinese reading version sends the body through the host's model when you ask for it, keeping code fences, paths and frontmatter verbatim and storing the result on this machine. A Skill can also be cloned into a local copy. It does not write back to the source Skill and does not run its scripts.

Session cost in rubles in the composer dock — the tariff in effect with its countdown, the API cost at that tariff, the CBR rate, the total including subagents, cache savings, and DeepSeek Platform balances.

只填 Key 的服务商预设：50 家渠道为 DSH 一键写入官方 llm-pi-ai 路由与凭据（插件），并可写入腾讯 WorkBuddy、OpenCode（Key 走其 auth.json）与 cc-switch 的配置（CLI）；核心为纯 JS，可被更多应用的外壳复用。

Region & sticker image skin for the DSH (DeepSeek Harness) web UI - paint the window, center, sidebar, welcome, right panel and composer with your own images, GIFs or videos, add two draggable stickers, and let the interface take its colour from your wall

Side-by-side model comparison for the DeepSeek Harness Web UI: send one prompt to 2–4 models in sibling sessions forked from the current one, watch the answers stream in columns (tabs on phones) with latency, time to first token, tokens, and cost, then co

Graph runtime capabilities for the DeepSeek Harness: register LangGraph compiled graphs as DSH tools, plus a graph-driven routing agent.

Lets the model trigger compaction itself at a safe point via a compact_now tool (works mid-turn), plus a context_status tool reporting real token usage against the session's actual context window.

A planner board as a third tab beside chat and trajectory: a Monday-first month calendar above per-day cards holding title, note, times, three importance levels and a completion checkbox. Plans repeat daily, weekly or on weekdays with an optional end date; editing or deleting asks this occurrence versus the whole series; completion is tracked per day; one button clears a day while only skipping recurrent series. Five model tools let the agent read, write, delete, clear and undo plans in conversation.

Personal dsh preferences: a tunable companion to the official compaction engine (threshold, retention, summarization model/reasoning, turn-end compaction), llama.cpp model import for the Models page, and tab/notification helpers (status-light favicon, bro

Counts completed compactions per session in a floating window and warns only after repeated compactions plus extra token spend or high context occupancy, with all three thresholds adjustable in Settings.

Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.

Usage dashboard: offline-scans session logs to chart daily/weekly/monthly tokens, estimated costs, model/tool/skill/command leaderboards, output speed, working hours and quality metrics; gridstack+ECharts cards are drag-and-drop composable, with custom formulas and AI arrangement (prompt round-trip import).

Read-only side branch in the right sidebar: quote text to ask follow-ups without polluting the model context of the main session; every follow-up rebuilds the branch from the latest settled turns of the main session, and writes are refused at the tool-execution layer so the prompt prefix stays cacheable.

Russian interface translation for DeepSeek Harness (DSH): registers complete ru dictionaries for the DSH platform and its plugins, adds Russian to the language picker, and activates it on first run. Translation only - no typography, spell-check or layout-