플러그인

Web GUI에서 분기 설문을 제공합니다. ask_survey 도구의 선택지별 routing, hover insight, Mermaid 다이어그램, 원클릭 답변 템플릿, 재개 가능한 저장 진행 상태를 포함합니다.

DeepSeek Harness용 연구실·프로젝트 진행 관리입니다. progress_* agent 도구 16개(항목 CRUD, 일일 보드, 일일 기록, 전체 검색, 개요, Gantt, 댓글, 가져오기·내보내기)와 원래 웹 UI를 호스팅하는 better-sidebar의 “进度” 탭을 제공합니다. 데이터는 세션 프로젝트의 `.progress/progress.json`에 저장됩니다.

대화 진행 상황을 Tencent IMA(일일 노트와 Work 지식 베이스)에 자동 업로드하며, 로컬 Claude Code ima-upload 워크플로를 반영합니다.

자체 포함된 DSH 플러그인 하나에 읽기 전용 라이프사이클 거버넌스 도구 21개를 제공합니다. 작업 분류, 상태/계획/증거 검증, 게이트 사전 점검과 집계, 릴리스/설치 감사, 컨텍스트/진행 분석, 크리티컬 패스, 재개 시 조정, 실행을 항상 거부하는 변경 미리보기를 포함합니다. npm에서 `@240xu/dsh-tech-lead`로 설치합니다.

DSH Web GUI의 분기형 설문입니다. `ask_survey`는 선택지별 라우팅, 마우스 오버 정보, Mermaid 다이어그램, 원클릭 답변 템플릿, 저장한 진행 상태 이어하기를 지원합니다.

DeepSeek Harness용 다중 에이전트 대시보드 스킬 -- 상태 보고, 작업 추적, 진행 상황 시각화

드래그 가능한 고래 컴패니언으로, 로컬 진행도, 업적, 스킨, 프라이버시를 고려한 활동 추적을 제공합니다.

DeepSeek Harness용 개인 가계부: 지출/수입 기록(단건 또는 일괄), 목록, 추세가 있는 월간/연간 통계, 진행률과 초과 경보가 있는 예산, 소프트 삭제 복원, CSV 및 자체 포함 HTML 보고서. 의존성 없음, 로컬 JSON.

DeepSeek Harness용 S3, FDS 및 FTP 파일 도구: 8개의 에이전트 도구(목록, stat, mkdir, 삭제, 이동, 복사, 다운로드, 업로드) — 승인 게이트 변형, 진행률 및 취소를 갖춘 전송 작업

dsh 웹 GUI용 Rick and Morty: 3가지 룩 스킨(C-137 포털 그린 / 랩 코트 / 미식스 블루) 및 6명의 캐릭터, 이중 언어 대사, 에이전트 기반 무드, 콤보 쓰다듬기 및 진행 패널이 있는 데스크톱 펫 동반자

헤드리스 dsh 작업용 실시간 단계·ETA·비용 대시보드: 블랙박스 세션 이벤트 스트림을 실시간 멀티태스크 그리드로 바꿉니다(cordis 플러그인 + 독립 로컬 대시보드, API 호출 없음).

에이전트별 온디맨드 도구 탐색과 점진적 스키마 공개

A five-stage engineering loop for agent-built projects — spec, build, verify, ship, learn — with one artifact and one gate per phase, so an agent always knows the single next action. Role policy, project templates and deployment sit behind explicit ports: swap the implementation without rewriting the loop. Its scaffold generator lays out the internal layers of a project — `init --layout {none,webapp,service,plugin} --stack {python,node,none}` — from nine layers sampled out of three unrelated production projects: entry docs, an OpenSpec plan face, a spec truth layer (INDEX, one file per domain, TESTING, CONSTITUTION), a wiki split into knowledge / progress / runbook, the six `.agents/` slots, server+web, scripts/deploy/config, tests+e2e and a gitignored out/. Non-none layouts also gate the directory contract and compile every source root. Ships a Python CLI (init/next/check/ship/new) plus a local command adapter and an SSH/systemd adapter with release directories, an atomic current/previous switch, a deploy lock, a commit-versioned JSON probe and automatic rollback on a failed probe; bootstrap and teardown provision and remove the unit and the reverse-proxy block idempotently and refuse to delete a root they did not create. Includes a runnable example workspace and a skill that keeps the agent on one phase at a time. Requires Python 3.10+ and PyYAML; remote deploys need SSH access, rsync, systemd and Caddy on the target.

Runs Hindsight long-term memory on your own machine: after a one-time uvx --from hindsight-embed@latest hindsight-embed profile create server setup (~450 MB of Python dependencies) and with your own LLM key, the plugin manages the local memory server itself (health probe, start, stop, logs), registers ten hindsight_local_* tools for status, page search, page read, recall, remember and reflect, injects a knowledge-page index once per session, writes each finished turn back into the bank, and extracts facts with your own LLM key. Do not enable it alongside the official @vectorize-io/hindsight-coding-agents plugin: both read the same bank and would inject duplicate context. At session end it writes a handoff snapshot that the next session injects as previous progress. The data directory is configurable (dataDir) and scripts/relocate.mjs moves an existing install to another drive, creating directory junctions where the server hard-codes its paths.

PTC agent preset whose tools.guard refuses tool calls until the session holds an active goal and an in-progress todo.

Makes the agent narrate progress during long tool chains instead of staying silent until the final answer: a standing system-prompt rule that travels with every request, plus a notice injected after every N tool calls. A panel on the plugin page tunes the cadence, the reminder budget, and both texts; changes apply live.

A countdown pill under the message composer showing how long is left before you clock off, with a workday progress bar; click it to set your own start and end times (saved in this browser), and after the end time it turns into an overtime timer.

Page-level startup splash: a Penrose triangle light sweep over a living isometric diamond ocean, where the frame itself is the progress gauge, paced by the intro but capped by real DSH boot milestones. Any bare key skips it, ten palettes come from Monument Valley and Geometric Islands, and when the intro ends the triangle stays on as a small mark beside the composer that reflects what the agent is doing.

An enhanced fork of PC2005-cloud/dsh-pet (do not install it alongside the upstream dsh-pet): a desktop pet for DSH with schedule reminders, approval and question bubbles you can answer in place, a 20-entry history ledger, double-click corner cycling, a configurable data directory, a step/elapsed progress line, snooze and one-hour mute, a right-click menu whose order and hidden items you can edit in settings (chat first by default), and a task-queue progress bar inside the work bubble.

Counts the assistant rounds that call tools without writing anything to the user, then inserts a short progress reminder as a visible user message at the next model-request boundary, so a long silent tool loop reports what it has done before continuing. A Settings page adjusts the silence threshold (default 10), the reminder wording, the language (en / zh-CN / zh-TW), whether the reminder repeats every further threshold of silent rounds, whether subagent sessions are counted, and whether Agent Teams nudges the lead only or every member.

A draggable square-cake mascot that runs while a turn is in progress, sleeps when it finishes, and gets angry on errors.

Bilibili music player for the DSH composer dock: import your Bilibili login cookie and a listening-profile JSON for profile-based recommendation with like/skip/dislike feedback and 192k playback; without a profile it falls back to genre-based online search and progressive playback.

Daily check-in for Nanjing Forestry University's ACM AI Hub plus seat booking for its library — both site addresses are hardcoded — with a settings page and a progress badge; built for DeepSeek Harness Mobile (DSHM) on Android.