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DSH Host 재시작으로 중단된 턴을 재개합니다. 세션이 활성화된 뒤 agent activation을 hook하고 복구된 turn/end를 읽습니다. 부작용의 성공/실패를 가정하지 않고 실제 상태를 먼저 확인하는 continuation을 보냅니다. AUTH, QUOTA, context overflow 같은 영구 오류는 건너뛰며 재시작 간 예산, 적응형 backoff, 최소 context payload를 사용합니다.

DSH 웹 UI용 Media-scape 테마입니다. 인물/캐릭터 아트와 동영상 배경화면(mp4/webm, 로컬 및 온라인), 부팅 애니메이션, 단일 소스 JSON 기반 기본 색상 구성·프리셋·선택기, 캡슐 호스트 요소 스타일, 앰비언트 파티클, 커버/플레이리스트/랜덤 재생이 있는 배경 음악 플레이어, 입력 효과음, 드래그 가능한 도크 도구 모음을 제공합니다. 배경화면과 음악은 확장자로 분류해 함께 업로드하며 업로드 중 디스크에 버퍼링하지 않습니다. 일시 중지 시 오프셋이 포함된 .part 스냅샷으로 재개하고, 파일명+크기로 중복을 판별해 “skipped”를 알립니다. 완전 삭제 후 목록을 새로 고칩니다.

DSH Web GUI 구석의 고래소녀 데스크톱 펫입니다. 에이전트가 작업하는 동안 내장 트랙에 맞춰 노래하고 도구 호출이 실패하면 머리에 쇠파이프가 떨어집니다. 클릭해 쓰고 있는 대야를 두드리면 쌀 12톨이 들고, 충분히 두드리면 배고파져 구걸하러 돌아다닙니다. 페이지 어딘가에 쌀이 나타나면 달려가 먹습니다. 뷰포트 안에서 드래그할 수 있고 달리는 중 잡으면 몸부림치며 투덜댑니다. 볼륨·행동은 Settings에서 설정하며 아트·효과음·노래가 패키지에 포함됩니다.

로컬 동영상과 이미지로 전체 화면 동적 배경화면을 설정하고 효과를 실시간 조정하며 배경을 바꿀 수 있습니다. Wallpaper Engine 워크숍 가져오기와 자동 설정 저장도 지원합니다.

Settings → API 密钥에서 provider별 여러 API key를 관리합니다. 메모가 포함된 키 풀을 유지하고 한 번 클릭해 활성 키를 전환합니다. 전환은 다음 모델 호출부터 실제 적용됩니다.

DeepSeek Harness Web GUI용 실시간 피크/오프피크 요금 표시: 컴포저 아래에 상태 알약 하나를 두고, 호버하면 적용 요금을 보여줍니다.

DeepSeek Harness를 위한 출처 인식 실행 보안. 도구 호출 전반에서 민감한 데이터를 추적하고 실행 전에 위험한 부작용을 차단합니다.

Folds older oversized tool results into spill files and replaces them with short, deterministic stubs at step boundaries, with no LLM call: the stub keeps the first 200 and last 80 characters plus the sequence number, tool name, line/char/size counts and the original file path, and each fold is a real surface replacement accompanied by compaction/prune shadow pricing so token counts stay honest. Triggers on context pressure at 25% of the model window (falling back to 32768 tokens when the window cannot be resolved) or on five accumulated candidates; the last three turns, error results and rich content are never folded. The original is recovered from the session log rather than the spill file, so /folds, /unfold <seq> and /unfold all keep working after spill cleanup; session_fold_recall lets the model fetch a folded result by sequence number or by keyword, and session_fold_diagnose reports the effective settings. /spill-prune removes orphaned spill directories, preview only unless --apply. A Settings page exposes 12 of the 13 options as draft-then-save fields; they are volatile, so saved changes apply without restarting the plugin.

Splits the composer model seat into a model chip and a reasoning-effort chip: the effort chip opens a draggable, wheel-adjustable slider, and the panel behind it animates 36 canvas effects across 12 categories.

A realistic humpback whale desktop pet for Windows: a DSH host bundle that spawns its own Electron overlay above the desktop (not inside the web UI), with click-triggered full-screen water ripples and screen refraction, 20 local sound effects, and 121 offline one-liners. No model calls or telemetry; the only network use is a one-time Electron download on first start when no shared runtime is found, plus a DeepSeek balance refresh that runs only when you click it.

Registers the video-studio skill in the DSH skill catalog. It builds a Chinese-narrated video from a script: edge-tts synthesizes the narration, the timeline is derived from each line's measured audio duration rather than estimated from text length, Pillow renders every frame deterministically and pipes the raw frames to ffmpeg as rawvideo, burned-in subtitles and SRT/ASS export come from that same timeline, physical-model sound effects and a generated score are mixed sample by sample with numpy, and QA runs in four layers: container, signal, temporal and page level (the page layer only when the browser engine is used). An optional Playwright-driven browser engine renders the whole film as Canvas2D instead, sending PNG frames through image2pipe. Needs network access for the narration, ffmpeg on PATH and Python with numpy, Pillow and edge-tts; the browser engine also needs Playwright with a local Edge/Chromium.

Matches each new task against installed skills with deterministic keyword scoring and injects the best one without being asked; records effective operations as per-skill notes for later runs.

Runs loudness normalization, silence trimming, format conversion and batch processing through local ffmpeg, with presets for game sound effects, music uploads and voice cleanup.

Drives the Edge already open on your machine through a local WebSocket bridge and an unpacked MV3 extension: the agent reads the page as Markdown, dumps its interactive elements with stable refs, clicks and types with pre-action assertions and a three-valued effect state, and can capture pages from the extension popup as self-contained HTML snapshots, filed into a kb.py literature knowledge base when one is configured (kbRoot or DSH_KB_ROOT). Seven browser tools stay unregistered until edge_bridge is started, so an idle session pays no context cost.

Switches the tone of DSH replies from Settings → 人格模式 or the /persona command (/persona catgirl, /persona off), effective from the next turn. Only the active persona is injected, as runtime context, so the system prompt keeps a single stable short strategy; with the mode off the injected persona text is 0 characters. Facts, code and engineering discipline are unchanged.

Removes AI phrasing so replies and documents sound human: an always-on de-slop style section injected into every session (on by default, switch it off with deslop_mode), four deslop_* tools (0-100 slop scan, deterministic rewrite, intensity switch, voice profile) and four skills (rewriting, conversation, technical docs, Chinese reports), copied into the DSH skills folder at startup. The effect is measurable: a typical AI-flavoured Chinese paragraph scores 49 before deslop_rewrite and 6 after.

Super input suite — model and effort picker, prompt enhancer, follow-up suggestion chips, a full cost engine with daily heatmap and Coding Plan quotas, voice-input light effects and transcript cleanup (needs the built-in voice-input bundle enabled), prompt templates, selection reference chips with comments, a compaction ring and a settings hub. Bundles the author's standalone dsh-cost, dsh-power-picker, dsh-prompt-enhancer, dsh-followup, dsh-siri-voice and dsh-compaction-control; uninstall those before installing.

Gives the web UI the same keyboard shortcuts on Linux that Windows and macOS already get: the host half injects one script into index.html, so a Linux browser reports a Windows platform before the shortcut service reads it, and the built-in table resolves instead of staying empty; a Settings row reports whether the mapping took effect.

Configurable startup splash screen for the DeepSeek Harness desktop app on Windows only — a real main-process splash with live preview and light/dark themes. Deploys by rewriting the app's app.asar (a backup is kept) and takes effect on the next launch after you quit DSH; redeploy after each DSH upgrade.

Explains Chinese internet memes to an agent: registers a meme_explain tool that returns the meaning, tone, origin and lifecycle of a sticker, which memes can and cannot be combined, occasions to avoid, and both a meme-version and a plain-version reply. Answers come from a local memory store with spacing-effect decay, falling back to a user-configured OpenAI-compatible vision endpoint (BYOK).

An animated cat companion for the DSH chat UI. It reacts to session states, shows editable click-to-read lines and per-turn token counts, and supports dragging with a squish effect, left/right flipping and Ctrl+wheel resizing.

Passive recorder that replays the main agent and every subagent on one timeline, flags repeated calls, loops, recurring errors and truncated output, and writes an AI cause-and-effect review on demand.

A merge of the dsh-effort-dial card structure and the reasoning-slider gradient/particle effects: a Codex-style reasoning-effort card in the composer with one control for model and effort, per-level accent colors, a quota line on the top level, and a blue-purple gradient with drifting particles. It takes over the composer model slot, so it cannot be enabled alongside dsh-effort-dial or reasoning-slider.

Agent application development evaluation skill (skill bundle) for DeepSeek Harness: offline/online suites judged from audit side effects, baseline diff with zero tolerance for safety regressions, and mutation tests proving the evaluators themselves catch regressions. Framework-agnostic - needs a callable chat endpoint and queryable tool-call records. DSH host compatibility is deliberately undeclared.