DSH-Browser: A Playwright Browser Automation Plugin for DeepSeek Harness

dsh-browser is a Playwright-based browser automation plugin for DeepSeek Harness, designed to enable Agents to directly drive real web pages. It provides tools such as `browser_open`, `click`, `type`, `screenshot`, and `eval`, supporting page navigation, form interaction, JavaScript execution, content reading, and screenshot review. Browser state is maintained across tool calls, and it runs in headless mode by default. Installation requires `playwright-core` and a Chromium-based browser (it automatically attempts to use chromium/chrome/msedge; if missing, you can run `npx playwri

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DeepSeek Companion: A Companion Plugin for DSH

DeepSeek Companion is the official companion plugin for DeepSeek Harness (DSH), designed to integrate conversation export, context handover, API cost optimization, and global retrieval functionalities. The plugin consists of four independent modules that can be enabled or disabled on demand. Core features include: intelligent conversation export in formats such as Markdown and PDF, with batch ZIP packaging; generation of editable four-part handover summaries for context injection into new conversations; API cost optimization supporting dynamic pricing, peak-valley scheduling, and budget control, with AES-256-GCM encrypted storage of keys; and global conversation retrieval with keyword and tag filtering, as well as in-conversation quick search. Installation requires DSH >= 0.1.0 and specific Node.js version requirements, and can be performed via the `dsh plu

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dsh-tidychat: DeepSeek Harness (DSH) Web Session Timeline Organizer Plugin

dsh-tidychat is a DSH web version plugin maintained by BananaSoldier01 (MIT license, current version 0.2.5), designed to address the issues of mixed process and conclusion content in long conversations, as well as inconvenient history browsing. Its core features include: automatically collapsing completed turns while retaining only the final summary, with the control bar displaying step count and duration; inserting solid lines to separate reasoning from main text, distinguishing process from conclusion; providing a Codex-style left-edge Canvas minimap positioning bar, supporting hover-to-zoom, drag-to-preview, and click-to-jump; intelligently loading earlier history when the page is idle and automatically pausing when response performance degrades; and one-click generation of diagnostic reports with pre-filled GitHub issues. Each of these features can be independently toggled in the settings panel. Installation requires the DSH web version and pnpm as prerequisites, via `d

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DSH Doctor: Diagnostics and Recovery for DeepSeek Harness

DSH Doctor is the diagnostic and recovery plugin for DeepSeek Harness (DSH), designed to address startup failures and runtime errors caused by profile configuration issues, dependency problems, or plugin anomalies. It offers two interaction methods, a Web UI and a CLI, supporting automatic failure detection, executing limited recovery actions, and rolling back configurations to healthy checkpoints. Core features include displaying recovery banners in the Web UI, providing a diagnostic page and emergency entry points, as well as performing operations via the CLI such as scanning, boot probing, recovery, and checkpoint management. Its design emphasizes safety, requiring explicit confirmation for critical actions like disabling plugins or modifying configurations, and it does not handle API keys or upload local data. Installation requires

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dsh-wordbox: Adding a Common Phrases Panel to DSH Web Input Fields

`dsh-wordbox` is an MIT-licensed plugin designed specifically for the DeepSeek Harness Web client, aimed at solving developers' pain point of repeatedly typing common phrases, terms, or fixed templates in conversations. The plugin provides a "Word" button on the right side of the input box; clicking it opens a persistent upward panel that supports managing two types of word libraries: global and project-isolated. Core features include one-click insertion of entries into the input box (preserving focus and undo history), continuous batch insertion, hover to display full text of long entries, quick deletion at the end of a line, and one-click synchronization of current project words to the global library. Data is stored in the browser's `localStorage`, isolated by browser Profile, and supports real-time synchronization across tabs. Installation requires `pnpm` in the environment; run the `dsh plugin add` command and restart the service to enable it.

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@anestis271/dsh-desktop: Giving DeepSeek Harness Official WebUI a Desktop Shell

@anestian271/dsh-desktop is an npm plugin for DeepSeek Harness (DSH), designed to wrap the official WebUI as a native desktop application shell, addressing the need for users to have native windows, system tray, and quick-launch entries without installing a standalone MSI/DMG installer or forking the official codebase. Following the "everything is a plugin" philosophy, this plugin retains all business functionality of the official WebUI and only adds desktop integration capabilities at the outer layer. Core features include: providing native window controls, a system tray (supporting real-time bilingual switching between Chinese and English, show/hide, refresh, and other operations), optional desktop quick-launch entries, and login-on-startup. It ensures that only one window and tray instance is maintained per profile, and clicking the shortcut again directly brings up the existing window rather than creating duplicate instances.

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dsh-enter-lock: Adding an Enter-to-Send Lock to DeepSeek Harness Web Input Fields

dsh-enter-lock is a lightweight plugin for DeepSeek Harness Web, designed to address the issue of messages being sent prematurely due to accidental presses of the Enter key when editing long texts or using Chinese input methods. The plugin provides a lock-shaped button in the slot to the right of the official input box, enabling an Enter-to-send lock function. Key features include: when locked, both regular Enter and Ctrl/Cmd+Enter do not trigger sending, while Shift+Enter for line breaks, IME candidate confirmation, and `@`/`/` menu operations remain functional; clicking the send button with the mouse still works normally. The plugin supports shortcut key toggling (Windows/Linux: Ctrl+Shift+K, macOS: Cmd+Shift+K), and the lock state is independently maintained per conversation.

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DSH-Vision-Plugin: Adding Image Understanding Capabilities to DSH

dsh-vision-plugin is a plugin developed specifically for DeepSeek Harness (DSH), designed to address the limitation that pure text models cannot directly process images. This plugin leverages OpenRouter's free multimodal models (`:free`) to automatically convert images into text descriptions before sending, thereby endowing text-based models like DeepSeek with image understanding capabilities, all at zero API cost. Key features include: providing a `describe_image` tool to read local images; intercepting and converting images automatically via the `llm/stream` hook when the model does not support image inputs; and automatically writing a `deepseek-vision` provider pointing to OpenRouter into the configuration file on first startup.

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dsh-rtk-filter: Passing Oversized Command Output to RTK for the Model

`dsh-rtk-filter` is a community plugin for DeepSeek Harness (DSH), maintained by Aeternus123 and licensed under the MIT License. This plugin addresses the issue of excessive token consumption and high context usage caused by overly long tool outputs during agent command execution. Its core mechanism involves condensing text results that meet certain conditions (e.g., byte size exceeding the threshold `minBytes`) via the external `rtk` CLI after tool execution but before the model receives the output. The plugin is registered as a `tools/post-execute` transformer, replacing only the model-visible content without altering the original tool values, while strictly preserving critical status markers such as exit codes, timeouts, and signals. If `rtk` is missing, fails, or produces no changes, the plugin silently degrades to outputting the original content, ensuring stability.

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Liltloom (语织): A User-Controllable DSH Writing Style Memory Layer Prioritizing Chinese

Liltloom (语织) is a Chinese-first AI writing style memory layer maintained by Adkid-Zephyr under the MIT license, specifically designed for DeepSeek Harness (DSH). It addresses the issues of scattered style requirements, difficulty in review, and lack of portability by transforming style from temporary prompts into structured, editable, and migratable rule data. Core features include silently learning preferences from user expressions to generate bounded Style Context Packets; supporting rule viewing, editing, locking, and JSON export/import; and providing the `/liltloom` command for previewing, enabling, or switching modes. By default, explicit retrieval is employed, with no full conversation texts stored, and Deep Style raw excerpts with small-model analysis are disabled by default. Installation requires Node.js ^22.19.0 or higher, pnpm, and

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dsh-subagent-max: Real-Time Viewing of DSH Subagents and Per-Call Model Override

`dsh-subagent-max` is a web-side plugin for DSH, maintained by aaravarr, designed to optimize the management and monitoring of parallel multi-subagent tasks. The plugin provides a multi-panel real-time viewing interface, supports simultaneous monitoring of output status from multiple subagents, and features block-level rendering, drag-out panel opening, startup notifications, and bilingual support in Chinese and English. Its core functionality includes the `subagent_with_model` tool, which allows users to explicitly specify a model or provider in a single delegation, or automatically select the optimal route through intelligent rules when not specified. The plugin is suitable for scenarios requiring concurrent viewing of subagent progress or on-demand switching of model resources. Users can install and enable it via the `dsh plugin --profile web add` command. Note that this plugin is limited to W

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DSH-Thinking-Notifier: Persistent Notification of DSH Thinking Status in the Bottom-Right Corner of the Screen

dsh-thinking-notifier is a DeepSeek Harness (DSH) plugin designed to address the pain point of AI status being only visible in the Web UI, which can be easily missed when switching applications. It displays a persistent top popup in the bottom-right corner of the screen, mirroring AI thinking, permission requests, and completion status in real time. This plugin requires no browser extension and is built on PowerShell+WPF for Windows and Python3+tkinter for macOS/Linux. Core features include: showing "AI is thinking" with an automatic collapse into a narrow edge label over time; displaying an amber alert with a warning sound during permission requests; showing a green dot with a chime upon completion of thinking; and hiding when idle. The popup adopts a DeepSeek-style dark color scheme, supports multi-session summaries, and polls the local environment every second.

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DSH Workspace Explorer: Adding a Workspace File Panel to the DSH Web GUI

dsh-workspace-explorer is an MIT-licensed plugin maintained by 3911ee, designed to solve the problem of having to switch to local tools when handling workspace files in the DeepSeek Harness (DSH) Web GUI. This plugin adds a "Workspace Files" entry at the bottom of the sidebar, providing a VS Code-style dual-pane panel: the left pane features a directory tree with lazy loading, icon coloring, and new/rename operations; the right pane is an editor with line numbers, syntax highlighting (supporting 10+ languages), a status bar, and drag-to-resize functionality. Core features include local execution, no outbound connections, support for `@file` references to link with AI agents, and bilingual interface adaptation for Chinese and English. Installation requires DSH 0.1.0-rc.6 or above, via `dsh plugin`.

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@2nd1st/dsh-plugin-open-app: Integrating open-mcp-apps Applications into dsh

`@2nd1st/dsh-plugin-open-app` is an MIT-licensed npm plugin designed to integrate `open-mcp-apps` applications into the `dsh` web interface. It eliminates the need to modify the `dsh` source code, enabling the addition of an Apps section in the sidebar, providing each application with an independent workspace, container, and session, and supporting inline rendering of application interfaces within model chat. This plugin operates under the `dsh web` profile and requires Node 22+, a local `pnpm` installation, and the `open-mcp-apps` engine version v0.5.1 or later. It can be installed via `dsh plugin --profile web add @2nd1st/dsh-plugin-open-app`.

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dsh-heatmap: DSH Web GUI Left Sidebar Activity Heatmap Plugin

dsh-heatmap is a DSH Web GUI plugin (MIT licensed) maintained by 283Gawin, designed to persistently display the user's commit count, Token usage, and estimated cost over the past 90 days in the left sidebar, presented as a GitHub-style heatmap, with support for viewing today's details. This plugin addresses the inconvenience of observing long-term activity trends, supports switching among three dimensions, and sources data from session logs read via the official SDK, along with git log, featuring a 60-second TTL cache. Core functionalities include hovering to view daily details, displaying today's total Token count, cache hit rate, and cost breakdown by model, as well as support for collapsing and state persistence. Configuration options cover theme, enablement status, whether to include merge commits (default: no), USD/CNY exchange rate, and a price override table, where the price over

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DSH Side Chat: Open a Parallel Side Conversation alongside the Main Dialogue

DSH Side Chat is an MIT-licensed plugin designed for DSH, aiming to address the issues of overly long and cluttered main conversation contexts. The plugin provides parallel side conversations with independent context windows, enabling context isolation and preventing temporary tasks from polluting the main conversation. Core features include truly parallel agent sessions, side panel management (supporting multi-session switching), Markdown rendering, panel width adjustment (300-900px), and minimized background operation. Users can use the "bring back to main conversation" feature to have the side agent automatically summarize and inject a collapsed summary into the main session, keeping the main conversation flow clean. The plugin supports two installation methods: a dynamic Cordis plugin mode suitable for debugging and an npm package mode suitable for daily use. Typical usage involves creating side conversations via the panel or the `/side` command, with each main session

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DSH-Vision-Sidecar: Adding Managed Visual Perception to DeepSeek Harness

`dsh-vision-sidecar` is a DeepSeek Harness (DSH) plugin maintained by `121103qwq`, designed to provide hosted visual perception capabilities for pure-text reasoning models while preserving the user's original inference configuration. This plugin processes images by calling an OpenAI-compatible vision endpoint and returns the generated descriptions as plain text to the model, thereby avoiding the GPU resource requirements and model replacement costs associated with locally deploying vision-language models. By default, the plugin uses LLM7.io's anonymous vision route, which requires no API key or local GPU, but users should be aware of its request rate and token limits. Users can also configure custom OpenAI-compatible vision providers, such as OVHcloud or OpenRo

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DSH-Perlica-Ding: DeepSeek Harness Tiered Task Prompt Tone Plugin

`dsh-perlica-ding` is a DeepSeek Harness (DSH) plugin designed to optimize task execution experience through sound alerts. It plays distinct notification tones at key milestones such as plan generation, task completion, approval requests, and error reporting, while remaining silent during normal Q&A to avoid disturbances. The plugin features built-in Perlica-style sound effects, supports cross-platform operation on Windows, macOS, and Linux, and works out-of-the-box with no configuration required after installation, including when the window is in the background. Core features include: sounding only when the main conversation round is uniformly concluded, preventing sub-agents from ringing individually; a 2.5-second debounce interval for each sound tier; and configurable options such as a master switch, debounce time, custom sound effect directory, and an execution tool list. Users can install it via GitHub or npm and need to restart DSH W

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dsh-voice-input-web: Adding Speech-to-Text Transcription to DeepSeek Harness Web Input Fields

dsh-voice-input-web is a client-side plugin for the DeepSeek Harness Web UI, designed to implement speech-to-text functionality through the browser's Web Speech API, requiring no API key or server-side modifications. The plugin adds a microphone button to the chat input toolbar; users can click it to start or stop listening, with real-time recognition results displayed in a floating overlay and the final text automatically appended to the input draft. It supports Chinese, English, and automatic language switching, with an optional auto-send feature. Installation methods include online and offline modes: for online installation, simply execute the `dsh plugin --profile web add dsh-voice-input-web` command and restart the service; for offline installation, manually place the package file and configure the patch file.

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Qiushi DSH Evidence Audit: Leaving Locally Verifiable Hash Chain Evidence Receipts for DeepSeek Harness

Qiushi DSH Evidence Audit is a community-maintained observation plugin for the DeepSeek Harness (DSH), designed to preserve runtime observation points without leaking plaintext sensitive information. It generates deterministic, hash-chained JSONL evidence receipts by listening to the official `tools/result` and `session/event` extension points. The plugin strictly adheres to the "observation-only" principle: it does not modify prompts, tool parameters, or results, nor does it store plaintext Session IDs—it only records event categories, timestamps, and SHA-256 hashes of key data. Its core mechanism involves constructing a tamper-evident local evidence chain: each entry contains a sequence number, timestamp, and forward/backward hash links. Upon startup, the plugin verifies the integrity of existing files, and if chain tampering is detected, it promptly issues an alert.

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DSH Verification Receipt: Appending Minimal Summaries to Each Execution Round of DeepSeek Harness

DSH Verification Receipt is a community-maintained, MIT-licensed passive plugin for DeepSeek Harness. It is designed to mitigate privacy risks associated with locally retaining execution traces by appending a privacy-minimized JSONL summary after each session ends, avoiding direct logging of complete sensitive logs. The plugin's core adopts a passive observation mode, registering no new tools and making no changes to model history or context, ensuring zero additional token cost without affecting the model experience. Its functionality focuses on recording tool invocation counts and identifying verification-related signals such as `test` and `lint` based on lexical matching. To safeguard privacy, it strictly excludes sensitive information including tool parameters, invocation IDs, command outputs, message text, and raw session IDs, retaining only coarse-grained statuses and categories. During installation, it must be specified.

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ADHDGoFly-DSH-Ext: A Markdown Part-of-Speech Highlighting Plugin for DeepSeek Harness Web

adhdgofly-dsh-ext is a pure client-side plugin for DeepSeek Harness (DSH) Web, licensed under the MIT License. The plugin leverages DOM post-processing techniques to perform part-of-speech highlighting on rendered Markdown content without modifying the DSH source code: nouns are highlighted in green, verbs in red, adjectives/adverbs in purple, and other words in gray. It supports both English (including lemmatization) and Chinese (using forward maximum matching), and adapts to DSH theme's light/dark mode switching. Core features include a part-of-speech filter toggle, customizable highlight styles (text color change or background box), debounce handling for streaming output, and automatic exemption of decorative areas such as code blocks and buttons. Configuration can be accessed via the ADHDGoFly section in Settings or through the plugin configuration card. Installation is available through DS

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dsh-plugin-doctor: DeepSeek Harness Plugin Health Check

dsh-plugin-doctor is a plugin health check tool in the DeepSeek Harness (DSH) ecosystem, corresponding to RFC #1629. It provides CLI and Agent-callable interfaces for verifying the integrity of manifest, patch, entry, build, pack, install, and config before plugin release. Core features include host masking, dependency, and native module checks against DSH profiles, as well as heuristic security audits (e.g., pre-side effects, Shell launcher risks). The tool supports read-only audit modes (audit/audit-batch), can generate JSON or Markdown reports, is suitable for CI integration, and offers environment diagnostics.

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dsh-orchestrator: Adding Multi-Agent Orchestration Mode to DeepSeek Harness

dsh-orchestrator is an MIT-licensed orchestration plugin (v0.1.3) for DeepSeek Harness (DSH), designed to optimize multi-agent collaboration through a "master agent + worker mesh" pattern. It replaces conventional prompt conventions or external polling by leveraging the harness's built-in inbox to enable native message exchange between any agents. Core features include: the master agent handles task decomposition and dispatch; workers execute specific tasks and can independently configure models, providers, and thinking intensity (off/high/max). It provides four tool interfaces: `agent_spawn` spawns persistent workers; `agent_send` sends messages to online agents (without blocking for replies); `agent_broadcast` broadcasts

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DSH-Qixi: Qixi Easter Egg Plugin for DeepSeek Harness Web UI

`dsh-qixi` is a DeepSeek Harness plugin maintained by Zhang9628, licensed under MIT, specifically designed to provide a Qixi Festival theme extension for the DSH Web UI. The plugin includes four core features: enabling the sidebar heart toggle applies a pink rose theme skin, displays blessing banners, Canvas particle backgrounds, and a sharing floating button; entering `520` in the input field triggers a full-screen romantic text barrage; entering `情书` or `loveletter` generates typewriter-style acrostic love letters supporting random generation, rewriting, and favoriting; additionally, it supports generating shareable or downloadable cards sized 1080×1440 with 5 color theme options. Before installation, ensure the local environment has DeepSeek Harness set up, then execute `dsh plug

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