Plugins

A Shenshen desktop companion for DeepSeek Harness: transparent task-aware animations (idle, working, thinking, celebrate, failed), click-to-wave and drag-to-run interactions, plus the upstream API balance, local usage accounting, roles, bubbles and sound settings. A character branch of MeteorNOX/DeepSeek-Balance-Whale-Widget (dsh-whale-widget 0.4.2); do not install it alongside the upstream, or two pets and duplicate requests appear.

Thinking-sorting plugin. A switch beside the composer puts the session into a three-stage mode — sort, critique, research — and each stage has a checklist of what it should produce before you press the advance button; finished ideas are filed by genre into Settings → Thoughts Center. A floating notebook holds half-formed sparks and opens a new session with the chosen one already written into the input box.

Adds a per-answer Process drawer that streams, in Simplified Chinese, the agent thinking, tool calls and errors for that turn.

Enlarges the DSH web settings dialog (default 1180x920, 20px steps, remembered per browser) and adds an Advanced Settings page that resizes it and hosts Host operations: restart dsh with a 3-second delay and a busy confirmation, restart once all sessions have been idle for 10s (cancellable, repeat clicks idempotent), last start time with uptime, and a dsh version/update check that compares npm dist-tags across selectable channels without upgrading. The same bundle replaces the sidebar brand area with a machine name, adds a read-only provider, model and thinking-level cell beside the composer stats pills, and a switch that registers or unregisters the three dsh_restart_* agent tools at runtime. Zero dependencies, no build step; all routes sit behind the connection trust fence.

Exposes DSH as an MCP server so another agent can watch its thinking, tool calls and file writes in real time, share intent, take a floor lock that denies DSH's write/edit/git tools, inject mid-turn alerts, and delegate reviews.

Reasoning-effort slider for the DeepSeek Harness composer: drag through the thinking levels the current model declares and release to write the chosen level into the session. An auto band escalates one level after a tool error and another after two or more, and optional model routing picks a provider/model per task type.

Pins a Chinese (zh-CN) thinking and answering constraint into the system prompt, and registers a per-step runtime reminder so the agent does not drift back to English after tool output. Zero runtime dependencies, single file; falls back to a second registration path and only logs a warning when the host API changes.

A philosopher's way of thinking made executable: dialectics and practice-testing to govern hallucination and long-session drift, so done is a verifiable fact rather than a claim.

Stops compaction summaries and session titles from burning their output budget on reasoning, by lowering the thinking level and raising the token floor for auxiliary calls only.

Use your ChatGPT account to bring Codex models into DSH: choose models and thinking effort, chat with images, use tools and skills, approve local tasks, answer interactive questions, continue and compact long conversations, check quota and Token history, and maintain a supported Windows screenshot helper.

Four whale-tail animations for the DeepSeek Harness thinking indicator, cycling on every thinking turn.

Live preview inside the sidebar session hover card: what the session is doing right now (running tool with elapsed time, thinking, last tool duration), an attachment thumbnail with click-to-enlarge, the latest user prompt and assistant reply with injected system scaffolding stripped out, a recent-tool icon strip, turn count plus token totals plus model name on one line, and a 12-item settings page (11 switches plus a slider) persisted to the profile.

轻量化的QoL插件，可以在输入框工具栏处一键切换思考强度，点击切换。

Watches a turn's thinking and output streams and cancels the turn when the model starts repeating itself. Four detectors: a verbatim cycle, a counting loop whose lines differ only by a number, repeated lines separated by other text, and a user-supplied phrase list. A catch raises a manual-dismiss alarm card in the global overlay with an optional tone, and a Monitor tab holds the switches, thresholds and hit history. Detection is local string comparison with no model calls, so it costs no tokens.

Chat with the DeepSeek web app (chat.deepseek.com) in a native DSH panel — a real browser drives the site on your existing web login, with streaming replies, deep-thinking and smart-search toggles, and image or document attachments. Conversations can be recovered from the web side, exported as Markdown, and distilled or replayed into a harness session, and the agent reaches the same web chat through six tools (dschat_status, dschat_send, dschat_stop, dschat_recover, dschat_import, dschat_transfer).

Configure thinking toggles and reasoning efforts per model for llm-pi-ai and official DeepSeek, and specify input modalities (input or inputModalities) in the DSH settings panel.

ChatGPT-like conversation layout for the DeepSeek Harness Web client: a 768px centered column, right-aligned neutral bubbles for user turns, full-width assistant text at 16/28, and rounded code blocks with their own copy banner. Adds semantic inline markup (`==confirmed==`, `!!risk!!`, `++key word++`, with bare 4xx/5xx codes highlighted automatically) and line-start check/warn/tip callouts; a fast/thinking chip in the composer that switches the model reasoning effort through ctx.modelDirectories; and sidebar contrast, where the selected session gets a tinted row with an accent bar and workspace folder icons are colored.

Turns the composer's reasoning-effort menu into a draggable slider and takes over the stock model-and-reasoning-level chip. Dragging follows the pointer continuously; releasing snaps to the nearest level and submits one session update per drag. The track draws its own fill, tick marks and white knob, only the highest levels (xhigh, max, ultra) get a flowing brand-colour gradient, and both ends carry the lowest and highest level names. The same card expands into the official model list. Arrow keys step one level, PageUp and PageDown two, Home and End jump to the ends, and each move submits. A generation counter on the directory object discards late responses, and reduced-motion turns the animations off. All data comes from the stock modelDirectories directory; no new capabilities are added.

A small pet in the corner of the interface that reads the real event stream instead of guessing: it drifts when idle, speeds up while the agent is thinking, draws a flowing line per running tool call, turns red and shakes with the error summary on a failure, and celebrates a turn that ran longer than ten seconds. The same widget is the at-a-glance busy and error indicator, so there is no spinner to stare at. The host half folds real harness events into a snapshot and the client half only draws it; it performs no content recognition, and it positions itself away from the composer so it never sits over what you are typing.

Adds two visual pages to DSH Settings. MCP servers are kept as a JSON source of truth that rewrites the profile patch managed block, with YAML validation and timestamped backups, plus import of a pasted mcpServers JSON that first lists what will be added or overwritten. Thinking unlock probes each OpenAI-compatible gateway for the reasoning efforts it really declares and writes the per-level config back while leaving other hand-written YAML byte ranges untouched; the available model list syncs from a separate button that previews additions and removals, then writes levels and models in one atomic pass, and can also run on the page schedule.

Replaces the composer model seat with a search-first picker and adds a model management page: create and edit llm-pi-ai channels, choose which of an endpoint's models exist, and declare per-model thinking ladders and capabilities.

Adds a thinking-depth slider mapped to declared model levels, configuration guidance, and optional inline model settings.

Per-model input type and thinking level declarations on the 模型 settings page — 输入类型 checkboxes on every provider card, and a 思考等级 field in the provider 编辑 dialog. Writes the official pi-ai input and reasoningEfforts fields.

Smart prompt optimization & dynamic thinking effort adaptation with composer capsule, DSH/custom models, undo/re-optimize, and native settings.