플러그인

One-click backup, export, import and migration of a whole DSH config: settings, plugins, MCP, skills and workspaces. Secrets are excluded by default and, if you opt in, are AES-256-GCM encrypted rather than written in the clear; imports preview first and auto-backup with rollback, profiles hold multiple setups, and remote sync pushes portable config through a private Git repo with secrets excluded.

File-based cross-session memory: plain Markdown memory files with automatic retrieval injection, format-compatible with Claude Code's CLAUDE.md and memory files, so migrating is a manual file copy.

엄선된 MCP 서버 번들입니다: 한 번의 설치로 demo, memory, filesystem, GitHub, Playwright, 원격 HTTP MCP 서버가 함께 제공되며 연결 검증 도구와 CI 점검도 포함됩니다.

PicGo의 기존 설정(PicGo Cloud, GitHub, S3, COS, Qiniu 또는 설치된 모든 업로더 플러그인)을 통해 로컬 이미지와 파일을 이미지 호스트에 업로드합니다. `picgo_upload` 도구와 `/picgo` 명령으로 사용합니다.

Load Wallpaper Engine .mpkg files as the DSH web background: embedded video, time-of-day switching, unified frosted blur, local wallpaper library & rotation.

DeepSeek Harness용 PDF 툴박스로, PDF 파일에서 텍스트, 메타데이터, 페이지 범위를 추출합니다(로컬 파싱, API 키 불필요).

DeepSeek Harness(DSH)용 안전 삭제 플러그인으로, 파일을 영구 삭제하는 대신 휴지통/대기 영역으로 이동시키며 복원 및 완전 삭제를 지원합니다.

`session_export` 도구와 슬래시 명령으로 현재 세션을 이식 가능한 스키마 버전 관리 Markdown 및 JSON 파일로 내보내며, 크로스 플랫폼에 안전한 파일명을 사용합니다.

Sidebar file tree for DeepSeek Harness: a files panel with a lazy, per-extension-icon tree, copy-path and send-to-agent actions

Migrate Codex CLI conversations, MCP servers, memories and project files into DeepSeek Harness sessions, workspaces and MCP registrations. 把 Codex CLI 的对话、MCP、记忆与项目文件迁移为 DSH 会话、工作区与 MCP 注册。

Skill Manager page in the DSH settings panel: browse system / user / workspace / preset skills, expand a skill to its file tree, view and edit files, import skills from a zip, and export or delete them (system skills read-only).

Automatic type-check diagnostics: after the model edits or creates TS files, runs `tsc --noEmit` in the background (debounced per project) and reports errors via the `code_check` tool — grouped by file with line/column, severity and TS error codes, closing the "edit → check → fix" loop.

Review Changes panel above the web composer with a VS Code sidebar bridge: send editor selections, drag files/folders as tags, and batch accept/reject every listed file.

Git hygiene checker: read-only scan of merged and stale branches, oversized tracked files, untracked files and uncommitted work, with cleanup suggestions (it never deletes anything).

Run Stata through DeepSeek Harness: the native Stata AI Skill service auto-starts with DSH (macOS/Windows binaries bundled), so you can run regressions, do-files and econometrics workflows with no manual setup.

In-chat preview for produced files: click a produced-file chip to render Markdown (server-side markdown-it + highlight.js), images, or plain text right in the conversation; system-app open and reveal-in-folder stay one click away.

Give agents access to files on the machine where the browser runs: user authorizes a local directory via File System Access, tool calls relay over the plugin's own WebSocket; read-only compat mode for mobile/insecure contexts.

Adds a path-backed attachment dock for images, documents, archives, code, and other files, leaving file reading to the Agent's available tools.

DSH Web right-side output dock that collects session artifacts, previews user-facing files, and preserves tab state per session.

읽기 중복 제거가 적용된 증분 파일 마운트: 마운트된 줄 범위는 모델에 다시 전송되지 않으며, 디스크 변경 시 무효화 후 재마운트, Mounted Files 탭과 토큰 절감량 집계 제공

DeepSeek Harness용 오른쪽 개발자 패널: 파일, 세션 히스토리, git 버전 관리

Markdown을 독립적인 자체 완결형 HTML 페이지로 렌더링: 헤드리스 프로필에서 동작하는 `md_html_render` 도구와, 로컬 `.md` 파일을 탐색·미리보기·편집·내보내기 할 수 있는 웹 드로어를 제공, 둘 다 하나의 렌더러를 공유하며 런타임 의존성 없음

Per-file-type multimodal chains: preset processing models per wildcard convert image/video/audio files into prompt tokens before they reach the text-only session model, with per-preset fallback chains and a Multimodal settings page.

A 轨迹解读 (trajectory interpretation) tab that summarizes each user round — what was wanted, how the assistant thought and executed, files/commands/errors — via a rules engine plus optional LLM narrative; user messages stay verbatim.