Plugins

Skills and MCP management console in the settings panel: merged skill catalog across every provider (hierarchical browse by source, online create/edit, independent model and user invocation switches, recoverable trash), GitHub install with multi-select batch install and update checks, MCP server add/edit/remove and enable/disable through the profile patch layer, cross-agent import from Claude Code, Cursor, Codex, Cline, Roo Code, Continue and Windsurf, and an independent SDK connection probe.

DSH 会话管理插件：删除（回收站恢复/彻底清除/一键清空）、强制删除异常会话、恢复归档会话、统计、继续/暂停、打开日志目录、未读标记、工作区分组与排序、上下文压缩阈值。DSH session manager: recoverable trash, empty trash, force delete, stats, continue/pause, log folder, workspace grouping, compaction threshold.

Registers a janitor_scan tool that returns a deterministic, reviewable cleanup plan for session debris (plan docs, scratch scripts) with per-file verdicts and evidence; scan-only, never deletes.

Local Git workbench for DeepSeek Harness: branch search and switching, hunk-level staging, commit graph, file history and blame, stash and worktree management, conflict resolution, and eight git tools for the agent.

Drop-in enhanced fork of the official workflow tool: a verbatim fork of the stock tool plus a persisted saved-workflow library (workflow_save / workflow_list / workflow_get / workflow_delete / workflow_run_saved) backed by ctx.storageDomain, so scripts can be stored, retrieved and re-run with new arguments.

Adds two Volcengine Doubao cloud speech recognizers to the DeepSeek Harness voice-input picker, optionally rewriting the transcript with an LLM.

Registers one `ocr` tool for text-only models: it runs the offline script bundled in the repo over a single image or PDF and returns the recognized text — Windows native OCR first, then RapidOCR, then Tesseract. Recognition runs locally with no network request and no API key. Needs Python 3.11 on PATH plus `pip install winocr pillow` (winocr is the preferred engine; RapidOCR and Tesseract are fallbacks). Per-line results for images, per-page results for PDFs.

Add MiniMax image understanding, image generation, speech synthesis, and transcription tools to DeepSeek Harness.

Time-based model routing: a settings panel defines weekday peak and off-peak windows and the provider/model each one uses, the choices are read from the harness registry (API keys and subscription logins alike), and a global switch decides whether that policy sets the model and reasoning effort of every request. The switch is independent per session, each session row carries a light showing its own state, and the settings panel names the model in force right now and why. A day no window matches — every weekend and holiday — uses the primary model of the first plan; the advanced thinking model is a separate axis, used only when a session itself asks for max reasoning.

Read-only clinic for DSH session logs: 22 named diagnostics (token waste, retry and failure loops, context bloat, cross-session amnesia, idle MCP servers and skills), each reported with a replayable evidence locator such as session.v4.jsonl.zstd#L101-L110, and each finding turned into an executable prescription — a profile-patch YAML snippet or a command with current to suggested values, risk, verification and source — plus a feedback command that retires a prescription you reject, after which the report states it was removed by your feedback. Zero dependencies, default zero egress, session files are never written.

Tired of going fullscreen by hand every time you open Harness? This plugin fills the screen for you - auto-maximize (keeps the window buttons) or true fullscreen on launch, then maximize / restore / minimize / always-on-top anytime. It quits only after a native confirmation dialog - Esc, double Esc, or Ctrl+Q; in fullscreen, Esc leaves fullscreen first. The window channel installs itself, so no script or Python is needed; the first install takes effect after two DSH restarts.

Search field on the DeepSeek Harness Plugins page that filters the installed and official plugin cards as you type, matching each card title, description and package name; space-separated keywords must all match.

JavaScript orchestration over DeepSeek Harness tools using Node.js VM or QuickJS WebAssembly backends.

Governs the persistent information and project constraints an agent works with - project orientation and scope, information and document lifecycle, and persistent workspace mutation - through one additive system-prompt section plus deterministic runtime checks.

Alpha Agent Teams plugin for DSH 0.2.0-rc.2 and newer that lets same-session user Steer end the Lead’s current wait_agent call while teammates continue, with native message delivery and Node PTC continuation.

OpenCode Go in the DeepSeek Harness model list, providing subscription quota display, model discovery, session affinity, and more.

Reports which PowerShell the DSH pwsh executor actually runs (enabled rows only; version-numbered Store paths are never recommended as pins), and installs a Store-managed PowerShell 7 through a scripted Store-page click or the manual Store path. Allows the pwsh tool only when the live executor resolves PowerShell 7+, and when dsh-ops is installed keeps the native pwsh beside ops_bash by enabling Compatibility and hiding duplicate official tools. Native status card and configuration switch in the Web UI; Windows only, no runtime dependencies.

Favourite any conversation from the sidebar row menu or an inline star, copy its id plus the transcript absolute path in one click, and permanently delete a single conversation behind a confirm — the sidebar row drops at once. A settings card batch-archives sessions idle past a configurable hour threshold with one-click undo, exports the candidates as a tab-separated txt carrying name, id, workspace, idle time and last activity, and batch-deletes archived conversations that are not favourites. Two view-options rows narrow the sidebar to favourites that are archived and to those that are not. Every addition is additive — three official slots plus one cloned filter row, editing no official file.

DeepSeek Harness LLM adapter for Qoder CN subscriptions, built on the official @qodercn-ai/qodercn-agent-sdk. Reuses the local qoderclicn login, and exposes a fully configurable settings page (per-model context window, session pool, timeouts, model deny l

Visual sketchboard for DeepSeek Harness: draw with Excalidraw, let AI agents inspect and annotate sketches, and review proposed edits.

DeepSeek Harness 的 ESP32-S3 Buddy 插件：通过 BLE 显示会话、Token 与上下文状态，支持触摸审批、电脑校时和角色包传输。

Claude Code-style prompt history, double-Esc picker, selection quote/copy & right-click paste.

DSH 提示词工作台：看清 system prompt 的每一段、写下你自己的家规、体检重复与矛盾，并记下每次改动。

Wraps the Scrapling Python library in up to nineteen model tools, registered by probed capability: real-browser rendering for JavaScript-only pages, CSS/XPath extraction that returns data instead of Markdown, self-healing selectors, reusable login-state sessions, XHR capture, page screenshots, gated browser actions and a domain-scoped crawler with content/sitemap/feed/Shopify modes on the official job backend. It can also replace the built-in web_fetch / web_search, and serve the same tool table over MCP. Requires Python 3.14+ with Scrapling installed; the browser tools also need a Chromium engine for patchright, which an optional CLI installs on macOS arm64 only.