dsh-todo-enhancer: Convert LLM-Returned Decision Lists into Editable Checkbox Tables
dsh-todo-enhancer is a Host/Client dual-half-zone plugin designed to eliminate the cumbersome process in DeepSeek Harness (DSH) where users must manually copy and paste LLM-generated lists for decision-making. By recognizing the `<!-- dsh-todo:start -->` and `<!-- dsh-todo:end -->` markers, it renders decision content into an editable checkbox table. It supports inline editing, adding or deleting rows, selecting all, sending directly, and populating a draft, and ensures the panel is displayed only after streaming output completes, thereby improving the interaction experience.
Read Moredsh-matrix-skin: Black-first Matrix Hacker Skin for DeepSeek Harness (DSH) Web
`dsh-matrix-skin` is an independent community plugin licensed under the MIT License, designed to provide DeepSeek Harness Web (DSH) with an immersive, hacker-aesthetic interface. This skin adopts a black-first design, featuring dynamic Matrix rain, terminal-style treatment for Think lines, and full sidebar shell coverage. Core features include a motion-reduction setting, local privacy handling (no network requests or telemetry), and access to reasoning text. Users must ensure they are using DSH `web` profile version 0.1.5-rc.1 or a compatible version. After installing it via the `dsh plugin` command and refreshing, the skin is enabled, delivering dynamic visual effects generated in real time based on the current text.
Read More@tirol/dsh-language-set: Separately Control Response and Thinking Language via System Prompt Injection
Developers using DeepSeek Harness (DSH) often face inconsistent AI language output. The `@tirol/dsh-language-set` plugin independently controls the language of AI responses and thinking through system prompt injection, eliminating the need to manually modify prompt text. It supports Chinese and English configurations, provides commands to view status and injected content, and is suitable for scenarios requiring strict language control. Installing the plugin requires a service restart; verify the source code and permissions before use.
Read Moredsh-pentest-bugtrace: BugTraceAI Penetration Testing Mode Plugin
dsh-pentest-bugtrace is a penetration testing plugin designed for DeepSeek Harness (DSH), aimed at simplifying the process of building security testing agents. The plugin encapsulates BugTraceAI’s MCP tools and workflows into a standard plugin, with built-in penetration testing roles, authorization rules, and preset runbooks. Users only need to configure environment variables and run a specific command to activate the agent for authorized scanning, vulnerability validation, and report generation. It supports multiple MCP tools to drive the BugTraceAI engine and includes a fail-open policy to handle backend service unavailability, greatly reducing the configuration barrier for penetration testing agents.
Read Moredsh-win-toolkit: Windows Native Capability Plugin
The `dsh-win-toolkit` plugin provided by DeepSeek Harness (DSH) uses secure PowerShell scripts to provide agents with core Windows capabilities, including clipboard read/write, system notifications, hosts file reading, and network diagnostics. The toolkit supports operations such as clipboard writing and notifications (permissions required); the remaining functions are read-only. Inputs are transmitted via Base64 encoding to prevent injection. Installation requires executing a specific command and restarting the service, and requires a Windows 10/11, PowerShell 5.1+, and Node.js 22+ environment.
Read Moredsh-netassist: DeepSeek Harness Network and Proxy Diagnostic Assistant
dsh-netassist is a DSH toolkit plugin maintained by Edge-Echo, designed to provide agents with read-only network diagnostics capabilities. It uses PowerShell on Windows environments to help users troubleshoot GitHub connectivity, system proxy status, and port liveness issues through DNS resolution, TCP port probing, HTTPS status code checks, and Hosts file scanning. The tool supports end-to-end diagnostics for any host, and all operations are read-only. After installation, agents can trigger checks using natural language. Note that it only supports Windows, and end-to-end diagnostics such as `net_doctor` can take a relatively long time.
Read Moredsh-gacha-calendar: DeepSeek Harness Gacha Game Schedule Sidebar Plugin
The DeepSeek Harness sidebar plugin “Gacha Game Calendar” is designed to let you view the current banners and event schedules of major anime-style games with a single click. Core features include a floating sidebar panel displaying schedules and countdowns, automatic online refresh (with manual forced refresh and interval refresh), independent multi-source data with automatic fallback, and custom entry management. The plugin can fetch data from official announcements, wikis, or third-party sites, and includes parser self-check functionality. Users can install it via a command. It is mainly used to aggregate and display publicly available schedule information and does not store resources.
Read MoreIntroduction to DeepSeek Harness Local Model Plugin
`dsh-plugin-local-model` is a plugin for DeepSeek Harness designed to simplify local model inference. It uses a dedicated settings page to automatically launch llama.cpp upon the first conversation message after a model has been configured, and it automatically unloads after 5 minutes of inactivity to release resources. The plugin also supports one-click switching between parameter presets, ensuring offline operation and file security. Users must prepare their own models and tools; for installation, it is recommended to refer to the source code. This tool is suitable for developers who need local deployment, privacy protection, and frequent parameter switching.
Read Moredsh-session-unarchive
DSH 2026-10-01 added a session archiving feature, but it is hidden by default in the Web interface, preventing users from viewing or restoring archived sessions. The `dsh-session-unarchive` plugin resolves this as a pure Cordis plugin without requiring modifications to the DSH installation directory. It adds an “Archived” button to the sidebar, displays a list of archived sessions, supports title filtering and one-click restoration, and offers both Chinese and English interfaces. Users must install it via dependency injection; it no longer relies on file patching.
Read Moredsh-self-improvement
The DeepSeek Harness Agent plugin provides agents with a maintainable long-term memory pathway through tiered and weighted mechanisms. It categorizes memory into five types, supports retrieval based on importance and recency, and offers governance features such as deduplication, poisoning protection, and score-based eviction to manage capacity constraints. The plugin also supports automatic retrospection, skill accumulation, and cross-session experience reuse, ensuring that agents retain context after restarts or session switches. Users can manage memory using commands such as `/memory` and `/retro`, and can configure memory scope at either the workspace or global level. It is suitable for complex application scenarios that require long-running operation, automatic experience accumulation, and secure governance capabilities.
Read Moredsh-voice-talk: Voice Conversation Plugin for DeepSeek Harness
`dsh-voice-talk` is the voice plugin for DeepSeek Harness, designed for hands-free use. Through full-screen voice interaction, it enables simultaneous speaking and listening, as well as real-time content generation and read-aloud. It supports Chinese and English, streaming interaction, and adjustable speech rate and voice timbre. Before using it, install host version 0.1.0-rc.7 or later and configure an Alibaba Cloud Bailian API Key to enable speech recognition and synthesis. Plugin keys are stored locally and follow the principle of least privilege, making it ideal for efficient use in Chrome or Edge browsers.
Read Moredsh-ego-browser: Site Skill Memory for the DSH Browser Agent
`dsh-ego-browser` is a memory plugin for the DeepSeek Harness browser agent, designed to solve the problem of repeatedly learning site tool signatures and operation notes to improve efficiency. This MIT-licensed open-source plugin provides core features such as `ego_recall`, `ego_run`, and `ego_learn`, supporting tool registration, inherited storage, and environment checks. Installation requires Node.js 20 and `ego lite`, and has been validated in dsh v0.1.7-rc.2.
Read MoreDeepSeek Harness Plugin: lightroom-py (Mount a Python Library to Control Lightroom Classic)
The DeepSeek Harness plugin `dsh-lightroom-py` mounts `lightroom-py` as a native tool, enabling agents to interact directly with Adobe Lightroom Classic. It covers a broad range of features, including catalog management, photo operations, metadata editing, developing tools, mask creation, and collection management, and supports automation via the CLI. The project is licensed under the MIT license and is unofficial. It currently offers better support for macOS; on Windows, services need to be started manually, and some AI features remain unavailable due to SDK limitations.
Read Moredsh-prime-memory: Hierarchical Distilled Memory Plugin for DeepSeek Harness
The `dsh-prime-memory` plugin for DeepSeek Harness is designed to address memory loss in long conversations by leveraging a hierarchical distillation mechanism (L0-L3) to automatically consolidate and inject historical information. It offers session tier switching, a cost dashboard, tool calls, and a “write-only, no-read” mode, all transparent to users. Installation requires Node ≥ 22.16, and data remains in a local directory after uninstallation, making it well suited for handling complex Agent tasks.
Read MoreIntroducing the DeepSeek Harness Plugin: dsh-perm-gate
`dsh-perm-gate` is the permission gate plugin for DeepSeek Harness, combining approval, classification, and gating into a single package. It uses a fixed priority chain and a fail-closed mechanism to ensure that high-risk operations cannot be bypassed. Core features include command blacklists, session authorization, LLM-based risk-tier adjudication, and adjudication learning. The plugin supports a pure-function rule engine, an audit log stream, and an automatic review mode, resolving cross-plugin version coupling issues while providing a unified audit trail and fine-grained control.
Read MoreIntroduction to the dsh-llm-openai-completions Plugin
`dsh-llm-openai-completions` is an adapter in DeepSeek Harness for connecting to custom gateways, primarily resolving compatibility issues related to role definitions, thinking mode, and visual input. Its core features include enforcing the use of the system role, separating thinking content, supporting image uploads, and adapting to various Qwen model formats. Users can install it via the DSH command line and enable it in their configuration file. Please note that maintenance for this project was discontinued in October 2026, remains at version 0.1.0, and the 0.2.0 version with visual features was never released.
Read Moredsh-context-compression-improved: Context Compression and Code Skeleton Compression Plugin for DeepSeek Harness
The `dsh-context-compression-improved` plugin in DeepSeek Harness addresses context bloat in agent tasks through mechanisms such as pre-compression, aggregate replacement, and history compaction. Its core new feature, the Code Skeleton Gate, substantially reduces oversized source-code tool results by retaining only declarations and key lines, significantly improving inference efficiency. The plugin supports multiple strategies, including Fresh and Aggregate, is compatible only with DeepSeek models, and requires manual enabling of code skeleton compression in the settings.
Read Moredsh-openspec: OpenSpec Workflow Skills and Command Alias Plugin
The `dsh-openspec` plugin is designed to address the integration of DeepSeek Harness (DSH) with the OpenSpec workflow. It registers OpenSpec’s 12 core skills as `openspec-*` specification skills and provides `/opsx-*` command aliases, supporting invocation by the model and users. The plugin depends on Cordis, is easy to install, manages state through a standard skills registry, and requires no additional runtime configuration.
Read MoreDeepSeek Harness Bidirectional Sync Plugin (dsh-sync-plugin)
The DeepSeek Harness (DSH) bidirectional sync plugin uses a private GitHub repository to synchronize sessions, attachments, and workspace configurations across multiple devices. It supports manual or automatic synchronization and features grouped session migration, conflict handling, and patch hosting. Users must install the plugin and authorize GitHub; it is suitable for technical users seeking a consistent workflow across multiple devices, though privacy risks should be considered and the application must remain running.
Read Moredsh-plugin-updater: DeepSeek Harness Plugin Secure One-Click Updater
dsh-plugin-updater is a plugin update and uninstallation tool for DeepSeek Harness (dsh). It securely manages pnpm dependencies through a backup, verification, launch validation, and failure rollback process, preventing configuration corruption caused by manual operations. It provides features such as manifest viewing, one-click updates, granular uninstallation, smart restarts, and rollbacks, supporting both settings-page and command-line operation modes to effectively reduce environment maintenance risks.
Read Moredsh-v4flash-tiler: An Automatic Large-Image Tiling Plugin for DeepSeek Vision Models
`dsh-v4flash-tiler` is an automatic image tiling plugin for the DeepSeek v4Flash vision model, designed to mitigate detail loss caused by large images exceeding 800×800 pixels. It automatically slices images larger than 1024 pixels into grid tiles with row and column coordinates and overlap regions, ensuring the model can reconstruct the original image according to the coordinates. It supports automatic tiling in the chat interface, manual command-line analysis, and Python API calls, making it suitable for processing large screenshots and dense-text scenarios.
Read Moredsh-memory: A Long-Term Memory Plugin for DeepSeek Harness
dsh-memory is a long-term memory plugin for DeepSeek Harness (dsh), designed to address the context window limitations of agents and the fragmentation issue in conversational memory. It uses persistent JSON storage, automatically guides the model to call `memory_recall` before responding to retrieve relevant background information, and calls `memory_save` after responding to store new facts. The plugin provides five core tools (create, read, update, delete, and search), supports a 1-5 star importance rating, and includes a visual web-based management interface, intelligent search, and import/export capabilities. It can inject key memories into the context, effectively improving the memory coherence and interaction quality of agents.
Read Moredsh-ui-skin-switcher: DeepSeek Harness Model and Reasoning Effort Switcher
`dsh-ui-skin-switcher` is a plugin built for the DeepSeek Harness Web interface. It provides a compact Claude-style switcher next to the input box, supports selecting models grouped by vendor, and offers an animated thinking-intensity slider for models that support reasoning. The plugin includes per-model memory and automatic theme adaptation. It is ready to use after installation and restart, but note that it only supports DSH 0.1.5+, and the thinking intensity must be configured manually—an incorrect value will silently fail.
Read Moredsh-rollback: Conversation and File Rollback Plugin for DeepSeek Harness
`dsh-rollback` is a conversational and file-state synchronized rollback plugin for DeepSeek Harness (DSH), designed to address the issues of inefficient manual rollback and state inconsistency in agent development. The plugin supports creating checkpoints before each turn and managing historical states using a 10-turn sliding window, enabling restoration of file contents, deletion of files, and handling of newly created files. It provides both Web-based visual buttons and command-line triggering, supports change previewing and in-place truncation. The plugin requires DSH version 0.1.1-rc.2 or higher and includes a comprehensive error-handling mechanism.
Read MoreIntroducing the dnalec/dsh-auto-approve Plugin
`dnalec/dsh-auto-approve` is a DeepSeek Harness auto-approval plugin designed to balance efficiency and security in automated workflows. It automatically handles tool calls by using keyword matching, review model decisions, and risk-leveling strategies. The plugin supports configurable deny, manual review, and allow policies, and provides parameter interception, request limits, and custom tool extension capabilities. Users must install the plugin and restart the service, then configure keywords and decision tables to define the handling rules for different risk levels, enabling secure and efficient automated workflows.
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