Plugins

DSH port of TokenEconomizer with cross-session project knowledge, opt-in tool pruning, failure-loop redirection, and token usage records.

Unofficial fork of dougen/dsh-deepseek-usage (baseline v0.16.0): sidebar balance and quota card for the active model provider, covering DeepSeek, Moonshot, Z.ai, OpenRouter, Kimi, MiniMax and OpenCode, plus Alibaba Cloud voucher balance for qwen-token-plan (BSS OpenAPI with AccessKey) and Xiaomi MiMo console balance with token-plan usage (console cookie). Ships a provider query-status page and per-token unit prices. Do not install it alongside upstream dsh-deepseek-usage: both render the same sidebar card.

Roleplay companion memory for DeepSeek Harness: per-conversation editable persona documents (1-100 weight per entry, AI may refine them in small story-driven steps), per-speaker favorability and bond in multi-person chats, active memories with AI-scored vectors, a nine-emotion table updated every turn, an AI self-evolution ledger, recent 48-hour transcript search, companion-style conversation compression, sleep-time compute that pre-guesses the next topics while a conversation is idle, per-conversation tone cards learned from its own past replies, a habit-hint small-model bridge that writes the user habits it extracts into this conversation memory, a date-archived local knowledge base with auto-packing by turns or tokens, and a unified integrations page that lists curated plugins and downloads their GitHub releases.

Sidebar session management for DeepSeek Harness: workspace groups sorted by latest activity, history folded behind one control, a global pinned section, running/unread/follow-up marks, delete into a restorable trash whose panel also manages archived sessions, per-session token statistics split by tool (arguments vs results), moving a session to another workspace, and a scan that re-attaches sessions missing from every workspace.

Fetches Tsinghua MadModel API tokens and renews them from the saved SSO session on a 20-minute timer in a windowless browser, writes the token into the DSH credential MADMODEL_API_KEY and creates or reuses the madmodel model provider; one manual Get captures that session through the campus login window.

CET-4/CET-6 vocabulary trainer in a draggable, minimizable floating window: 5,805 words bundled from ECDICT; flip cards graded known/fuzzy/unknown and multiple-choice quizzes with look-alike distractors; Ebbinghaus spaced repetition; configurable daily quota; online human US/UK pronunciation with offline TTS fallback; an ambient "loop reading" mode (word / word+meaning / word→meaning→word, with example sentences from a dictionary API + Tatoeba). v0.2.4 adds a "Cut" action that moves mastered words into a low-frequency maintenance pool with 15/30/60-day checks and recall instead of deleting them, a maintenance-check badge, and a UI polish pass (design tokens, fewer borders, consistent focus/press feedback, reduced-motion support). Progress and window geometry stay in the browser profile and survive updates.

DeepSeek Harness plugin: OpenCode GO 套餐用量（三窗口额度 + DSH 按模型 token/金额统计 + 输入框迷你条）

按会话统计 token 与金额：输入框下方显示当前会话花费，设置页列出每个会话的花费（含历史会话）。

Adds two buttons beside the sidebar toggle at the top-left of the DSH desktop UI, on macOS, Windows and Linux. Reload refreshes only the UI layer while a turn already generating keeps running; restart asks for one confirmation, quits the whole app and reopens it with sessions and workspaces intact. Restart is a POST that must carry a random per-boot token read from the plugin's status route. The plugin makes no network calls, reads no session content and has zero runtime dependencies.

Manage MCP servers and skills in DeepSeek Harness, and hide tool groups from the next prompt with token-cost estimates.

Model-linked characters and a shared world for DSH, with separate editable personas and memories, optional AI diaries and sleep consolidation, Chinese/English controls, task-aware desktop pets, themes and usage statistics; updates preserve user customizations. Supports Windows, Linux and macOS; see the guide for each system's installation requirements. Diaries and consolidation consume tokens. Before installing or updating, we recommend closing visible desktop pets and bubbles; open files may cause installation to fail. Codex and OpenAI API account queries have been user-validated; other sources await user validation and feedback.

Usage panel on the blank-session hero: sessions, messages, total tokens, active days, peak hour, favourite model and a contribution heatmap, over all time, 30 days or 7 days.

Diagnoses third-party LLM API endpoints from the sidebar: a four-layer check (DNS/TCP/TLS, key and model, a real streaming conversation, then timed repeat runs) reporting time-to-first-token, output speed and success rate, with every failure attributed to the step it stalled at and the byte count that actually left the machine. 37 provider presets, no model names hardcoded.

Lighten the load on your agent: one-click toggles for skills and MCP, so the context holds only what this turn actually needs. Skills and MCP servers you switch off are no longer injected into the model context — cleaner, and lighter on tokens.

A Neon Genesis Evangelion-inspired skin for DeepSeek Harness: Title Card (light) and Central Dogma (dark) modes over one removable override layer, 55 measured color tokens, a wallpaper paint layer whose two surface alphas are solved against a WCAG contrast budget, a boot mask and a brand mark. It also rewrites the sidebar identity line, replaces the new-session heading, hides six official entries, and reshapes the composer control row. Unofficial fan work, non-commercial: the background pictures are fetched from third-party URLs at paint time, not shipped in the repository.

Optional read-only bridge plugin that publishes live dsh session and token statistics as one JSON snapshot for the standalone dsh-minato toolkit to read.

Per-turn session cost chip in the composer stats row: each turn's spend with the model it used, the conversation total split into cache-hit and cache-miss (CNY), priced from an official price table that refreshes on demand.

One-tap connect ModelScope language and image-generation models into DSH (off by default), with image recognition and context window filled in automatically. You can also see the free Magicube balance, jump to a model's info page, and record local call counts, trends and rate-limit events, with a usage pill beside the input box showing the balance and today's local count. All of it needs only an API key, with no account sign-in.

Select a term in a DeepSeek Harness conversation and press the Search button beside it to read the explanation in place: basic meaning, purpose and usage, with the token cost of that answer. The call is auxiliary — it writes nothing to the session log.

Local Git plus the four GitHub remote tabs in the official DSH right sidebar: Changes (per-file staging, line diffs, and commit messages written by the model already configured in DSH), History, then Code, Issues, Pull requests and Actions proxied by the host half. The token stays in the host half through ctx.credentials and /dsh-git/* accepts loopback requests only.

Desktop notifications for DSH: a system toast, a per-kind chime and a tab-title marker when the agent needs you (approval, plan review, question) or a reply finishes in the background; errors, interrupts, usage limits and multi-agent workflow progress alert too. A host half adds SSE delivery, webhook push (WeCom/Feishu/DingTalk/generic), per-turn token/cache/TPS stats, plus three message-format presets (concise, detailed, custom); settings changes auto-save.

A lightweight font and theme plugin for the DSH client: Latin/Chinese/code font pickers that list only installed families, and five official palettes (One Dark Pro, Dracula, Nord, GitHub, Catppuccin) applied through the official theme tokens, including code-block syntax colors. No bundled fonts, no dependencies, no build step. Requires DSH 0.2.0-rc.2 or newer.

In DSH Desktop, see the tokens, cost and speed of every request, compare spending by model and provider, merge different names for the same model, check balances and compare real model performance.

Deep-sea skin for the DSH Web UI: an 80-token light/dark theme layer, a two-layer background, a gradient sidebar with a whale sticker, a wordmark that doubles as the skin switch, and a rotating turn-status line.