플러그인

DeepSeek Harness 워크스페이스 세션을 '카테고리｜주제' 형식으로 이름을 바꿔 정리하고, 아카이브·이름 변경·검토 제안을 보고합니다.

DSH에서 ChatGPT/Codex 구독을 사용하세요. 이미지 생성 및 웹 검색 지원.

DSH용 파일 브라우저 웹 앱: 호스트 웹 서버에서 제공하는 React 프론트엔드 및 REST API, 현재 세션 작업 공간에서 열리는 /dsh-agfs 명령, browse_files 모델 도구를 제공합니다.

DeepSeek Harness 에이전트 기능을 MCP 서버로 노출해 외부 MCP 클라이언트(예: Hermes)가 Harness를 구동해 코딩 작업을 수행하도록 함. Hermes = 두뇌, Harness = 팔

Pi 확장 기능을 에이전트 범위의 DeepSeek Harness 플러그인으로 실행

DeepSeek Harness용 Symphony 호환 멀티 프로바이더 작업 오케스트레이터 및 대시보드

AI 에이전트를 위한 안정적이고 편집 가능한 PPTX 생성 — 시맨틱 IR을 입력하면 네이티브 DrawingML을 출력

Ship DeepSeek Harness to your own VPS: one command (or a form in DSH Settings → VPS Deploy) installs a zero-dependency login gateway, automatic HTTPS through Caddy, systemd supervision and one-click DSH upgrades.

Keeps a project's documentation in step with its decisions on DeepSeek Harness: the same append-only decision log and derived design snapshot, kept fresh in-process instead of by a hook process.

Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.

Live2D session view with realtime voice: continuous voice input, streaming TTS, subtitle translation, multi-model catalog, standalone entry / Live2D 实时语音会话视图：连续语音输入、流式 TTS、字幕翻译、多模型目录、独立入口

One-command VPS deployment for DeepSeek Harness: a zero-dependency login gateway with automatic HTTPS that proxies the native web UI, a token-protected setup wizard, and one-click DSH upgrades with automatic rollback; as a plugin it adds Settings → VPS Deploy with version, upgrade and gateway status, or the one-command setup when DSH is not yet on a VPS.

Deterministic project actions shared by people and agents: one actions.json, a right-sidebar run panel, and agent tools.

Meeting rooms for DSH sessions: joining a room grants the right to convene and the duty to attend, and a session belongs to at most one room. Convening forks each participant in with its own completed-turn context and with its tools stripped, a moderator that carries no context chooses the speakers, and every turn is appended to disk as it is spoken. After adjournment each participant receives its own minutes as a user turn and resumes work.

Clusters arXiv, first-party lab, official artifact, hardware-vendor, and opt-in X signals into versioned release evidence bundles, then gates claim-level reproduction on commands, artifacts, metrics, and verifiers.

DSH plugin: shows the DeepSeek account balance at the bottom of the sidebar, with a configuration card in settings.

Adds an Explain button to the approval card: one model call returns exactly three lines reading the pending operation, covering what it does, which files or system state it reads, writes, modifies or executes, and a risky/attention/safe verdict with a one-sentence justification. It also renders the detail area for `write` and `edit` calls, which the shipped renderer leaves blank because it only reads a `command` field.

DeepSeek Harness용 TypeSafe Jev(System One 의사결정 모델) 엔드투엔드 통합: jev_decision(choice/score/noul, 병렬, 타입 지정 답변 + 신뢰도), API 키와 스위치를 위한 Settings > Plugins 카드, 대화의 모든 결정(답변, 신뢰도, 지연 시간, 비용)을 보여주는 인라인 도구 뷰, 자동 가드(결정적 + Jev 위험/루프 점검), 로컬 /jev 대시보드, 온라인 검증 벤치마크(라벨링된 27개 질문에서 96.3%, jev-latest에서 중앙값 약 283ms, 2026-09-21). 설계상 정직함: 실제 API만 사용하며 mock 폴백이 없습니다.

Animated DSH Web pet with model-adaptive output pacing, tool-state reactions, replaceable character packs, and a bundled skill for creating or extending pet animations.

Blocks an agent from reading, searching, writing, or editing chosen files and directories, keeping their contents out of the conversation — including sensitive-word files whose text can make later provider requests fail with a 400. Rules are picked from a file/directory browser on the plugin page.

Fronts stdio MCP servers with three router tools (list_capabilities, describe_tool, call_tool) so schemas load on demand instead of riding every request; shapes every tool result through a deterministic output ladder that archives the original first (retrieve_spill reads it back); prices tool groups in tokens and can hide built-in groups per agent. Bridges to a standard-library Python router, so Python 3.9+ is required.

Simulated life context for DeepSeek Harness: every turn injects the past 24h of simulated life events from the workspace .life/ directory (sliding-window filter, session-level deduplication with delta updates, world summary) as a collapsed context notice, and the life_react tool lets the agent record feelings, thoughts and actions back into its life log for the next round of world evolution — turning a DSH agent into a roleplay character with a persistent daily life.

Compaction fallback for compaction-basic: when its LLM summary throws, comes back empty or cannot fit the window, the span is compiled deterministically with a seq pointer on every line (vendored dsh-compaction-instant compiler). Adds recall and search tools, /recall and /context commands, an idle trigger at 45% of the window and an on-disk span archive. The engine mounts as one row in the agent preset (docs/dsh-integration.md).

Model-autonomous context compaction for DeepSeek Harness: a mind_map tool surveys the agent context surface (stable seq ids, roles, token weights, clear-boundary markers, the clear-mind playbook), a clear_mind tool replaces a chosen conversation-history span with a model-written checkpoint through the native compaction transaction, call and result pairs self-collapse into one-line tombstones, and a proactive reminder nudges the model when the context grows long or a turn runs too many steps.