Plugins

Gestionnaire de plugins dans le web pour DeepSeek Harness : liste de plugins catégorisée, ensembles prédéfinis avec bascule en un clic, import/export et retour arrière automatique en cas d'échec, et marché de plugins avec installation en un clic.

Page Gestionnaire de compétences dans le panneau des paramètres de DSH : parcourez le système/utilisateur/espace de travail/compétences prédéfinies, développez une compétence dans son arborescence de fichiers, affichez et modifiez des fichiers, importez des compétences à partir d'un zip et exportez-les ou supprimez-les (compétences système en lecture seule).

Gestionnaire de skills pour l'interface web dsh : une entrée dans la barre latérale plus un panneau listant les skills visibles pour la session en cours (répartis en groupes global / local) avec des interrupteurs marche/arrêt par skill, création / import / édition / suppression. Désactiver un skill le retire de la liste active.

A planner board as a third tab beside chat and trajectory: a Monday-first month calendar above per-day cards holding title, note, times, three importance levels and a completion checkbox. Plans repeat daily, weekly or on weekdays with an optional end date; editing or deleting asks this occurrence versus the whole series; completion is tracked per day; one button clears a day while only skipping recurrent series. Five model tools let the agent read, write, delete, clear and undo plans in conversation.

Personal dsh preferences: a tunable companion to the official compaction engine (threshold, retention, summarization model/reasoning, turn-end compaction), llama.cpp model import for the Models page, and tab/notification helpers (status-light favicon, bro

Manage the DeepSeek Harness skill catalog from Settings: list what DSH actually resolves, enable or disable a skill by policy without touching its source file, read and edit SKILL.md, and create, import, or permanently delete skills.

Skills, MCP & CLI manager for the dsh web GUI: browse/enable/import/delete skills across project and user roots; manage MCP servers with a REAL connection through @deepseek-ai/dsh-mcp-client (enabled servers connect and register their tools on ctx.tools;

Self-contained personal portfolio and investment-research workspace for DSH with local registration, asset import and allocation views, market and news tracking, a research library, and optional user-configured AI briefs; ships a Windows runtime and stores data locally.

Long-form novel writing plugin: each book is a git repository of frontmatter files, with 39 DSH domain tools and a web writing UI. Deep import drafts candidates, AI adoption into canonical assets requires DSH approval, and deterministic continuity checks ship with a report-only benchmark. Independent open source (MIT), not an official DeepSeek product; requires Node >= 24.11.0 and currently targets DSH 0.1.2-rc.1.

Desktop companion pet in its own always-on-top window: imports Codex pet folders from ~/.codex/pets as-is, with affinity ranks, session-linked activity bubbles, snap-to-edge dragging, a right-click-reachable smart click-through mode and a daily token meter that mirrors the dsh-usage ledger when installed.

Per-project memory for DeepSeek Harness. Three Markdown files per workspace — PROJECT.md, DECISIONS.md and SESSIONS.md — are auto-created on the first step of any session in that workspace, re-read from disk and re-injected only when they change (and re-injected if compaction dropped them), and written back by classification through a memory_checkpoint tool, with a bounded end-of-turn nudge when a turn did work but recorded nothing. memory_read and memory_search read the live log and the archive, the latter over a zero-dependency BM25 index. The session log is capped at 200 entries with the overflow moved to SESSIONS-archive.md — never injected, but visible, readable and searchable, and restorable one entry at a time. Settings page: a workspace list with a path filter, read-only tabs for the three memory files plus the archive, reload, export/import of one workspace's memory as a JSON bundle, a two-step clear, a panel that rewrites or removes the AGENTS.md instruction block, and a PROJECT.md staleness reminder. A composer status chip shows that workspace's sync state and creates the files on click. Zero dependencies — no vector store, no embeddings, and no model calls.

Layered memory for DSH whose agent-facing surface is 10 tools: high-privilege writes (memory_add, memory_delete, memory_import), rumination controls (memory_ruminate, _cancel, _status), and a memory graph (memory_search_graph, memory_expand_graph_node), built over an L0-L3 distillation pipeline that recalls and injects relevant memories before each model step.

Skill usage scoreboard for DSH: counts both per-session deduplicated and per-load usage, scores `skill` tool calls and direct `read` of skill files, and shows the tally in a three-tab settings page (skill ranking, session board, management) with paging and JSON import/export.

Process management: brings ntd-style processes (multi-stage, multi-step agent workflow templates) into the dsh web UI — browse, edit, validate, import/export and AI-generate processes; the built-in library is read-only while the personal library is writable with live file sync, and agents read the library through process_* tools and advance work stage by stage.

Agent-native API client for DeepSeek Harness: Postman-like debugging UI (request tree with context menus and full keyboard navigation, resizable sidebar, layered auto-generated header preview with per-item suppression and constant secret masking), six api_client_* agent tools sharing the same request core, redaction and audit chain with the human UI, Postman Collection v2.1 import with a migration report, environment variables with SecretRef indirection, and a fail-closed SSRF network policy.

Builds a motor-repair replacement-parts BOM from the fault and motor rating, listing stock, lead time and domestic or imported alternatives.

Full-screen dynamic wallpaper from local videos and images, with live effect controls, wallpaper switching and Wallpaper Engine workshop import; settings persist automatically.

AI 编译纯文本小说工作台 for the dsh web GUI: import a novel outline (docx/text), plan volumes & chapters with LLM, generate chapter by chapter (3000-4000 chars each), auto AI review & book audit, and export the full book as Markdown/TXT into your chosen output fold

Global prompt-injection / context-virus defense for DeepSeek Harness: scans tool arguments, tool results, pre-model messages and the outbound stream; quarantine/block/monitor modes, canary trap, and an evolvable on-disk signature library with learn/import/export.

Image generation workbench and agent tool for DSH: one tool (ark9_generate_image) paints text-to-image and image-to-image via any OpenAI-compatible API. Channels are entirely user-configured - no bundled endpoint, you bring your own baseURL, key and model name (manual input supported). Agent-initiated generations are approval-gated by default: requests queue in the floating panel and nothing bills until you approve; approval is non-blocking (the agent replies "awaiting your approval" immediately, and results, denials or timeouts are injected back so the agent reports them in the next turn). Floating glass workbench with five tabs (Generate / Approvals / Prompts / History / About), aspect-ratio grid with quality-budget + 16px-alignment sizing, transparent background, batch up to 10 images as aggregated sub-tasks, prompt library with custom JSON sources fetched through a host proxy, persistent generation logs with one-click retry, multi-channel aggregation with per-channel model fetching, bilingual UI (zh/en), stroke-SVG icon set, config import/export. Registers as a Better Sidebar tab when dsh-better-sidebar is installed; stacks above the dsh-cua FAB when both are present.

Lab/project progress management for DeepSeek Harness: 16 progress_* agent tools (item CRUD, day-board pages, daily records, global search, overview, gantt, comments, import/export) plus a 「进度」sidebar tab in better-sidebar hosting the original web UI; data lives in the session project's .progress/progress.json.

User-defined agents with automatic routing, model failover, and squad orchestration: six model tools (agent_dispatch / agent_followup / agent_list / agent_squad / agent_import_skill / agent_upsert), no built-in agents, a native right-tab panel (Overview / Agents / Squads / History), and a floating action ball.

Private plugin imports for DeepSeek Harness — import from private git repositories or local files (tarball upload / folder picker) from a first-class Settings entry. · DSH 私有插件：私有仓库 + 本地导入，设置内独立入口。

DSH plugin: auto-import local AI CLI conversations (Claude Code, Codex CLI, Cursor Agent) as real DSH sessions