Plugins

Voice call assistant for the DSH desktop app and the Web GUI (the same plugin, only the profile name differs): a draggable floating call ball, browser-side VAD that sends each utterance after a pause, speech recognition through the local SenseVoice model already downloaded by the official voice-input plugin (no second model), FunASR HTTP or streaming, or a cloud-compatible API, MiniMax / MiMo-V2.5-TTS (director mode and voice clone) / OpenAI-compatible TTS replies, an optional wake-word mode with auto-sleep, and task dispatch to separate sessions with progress, stop, and spoken completion reports.

Per-project runtime environments for DeepSeek Harness: auto-adopt or create a project-local Python venv (.venv_local/python) and wire in the toolchains and env vars for the runtimes each project uses (python venv / node / go) — python & pip always resolve to the project, never silently to system Python.

AI form filling and spreadsheet autofill for XLSX in DeepSeek Harness, using authorized Qichacha MCP facts with cell previews, user confirmation and export to a new copy.

Automatically retrieves time-of-use pricing data (with Beijing Time) and notifies users during peak periods to reduce costs.

A Git Graph tab for DSH Web: a faithful port of vscode-git-graph 1.30.0 that registers a native tab in the dsh-better-sidebar right rail (prerequisite), auto-binds to the session workspace, runs the full git operations (checkout/merge/rebase/push/tag/stash) directly on the host, and opens file diffs in the built-in DiffTab.

OMC-style multi-agent orchestration for DeepSeek Harness: 29 omd-* skills and 12 /omd-* slash commands over the plan-execute-review-verify pipeline and team/autopilot/ralph modes.

Batch recursive extraction: magic-byte format detection (disguised extensions), nested archive auto-unroll, multi-password pool with per-layer dynamic discovery, SFX/split-volume pairing.

Side-ask drawer opened from a completed answer's action row: follow-up questions run in an independent, auto-archived session seeded with the prior conversation text (read-only, capped at 48,000 characters), leaving the main session untouched. The side session inherits the main session's model, switchable inside the drawer, with a context-usage ring.

给每次 AI 对话装一根 Token 保险丝：为每条用户消息设置独立总预算，统一约束输入、缓存、思考与回答。A per-conversation total-token safety fuse for DeepSeek Harness, with a whale slider and automatic reset on the next user message.

Multi-channel notifications for DeepSeek Harness: registers a send_notification tool and a settings page fanning out to NotifyX, WeCom app webhook, WeCom group robot, email (Resend), SMTP, DingTalk, Feishu robot; plus browser notifications and automatic notification on task completion and blocking events.

Explicit cross-session work state for DeepSeek Harness: goals, decisions and next steps captured automatically from host events or via a model-visible work_state tool, inspectable with /checkpoint.

Point-and-shoot screenshot capture: a system floating window turns a new screenshot (or copied image) into an Obsidian note with comments and key-point marking, instant OCR through the host DSH multimodal model (no extra API key needed, Tongyi Qianwen as fallback), a duplicate-screen guard, per-day merging, and an optional evening AI organization pass.

Automated daily content pipeline for Insta360 GO 3S: BLE/WiFi remote capture of aquarium footage, wireless import, ffmpeg quality evaluation with decision log, Auto editing (segment selection, TTS narration, music, subtitles), and Bilibili upload via biliup (dry-run by default).

Windows desktop automation for DeepSeek Harness: accessibility-first observe/act loop with 30 standard tools (element/coordinate targets, auto/a11y/event strategy routing), superseded-observations and no-replay safety semantics, persistent kill switch, RuntimeId/rect-drift stale protection, chat cards and a floating panel (live ops, frame wall, env auto-detect settings), tiled vision describe for low-res models, JSONL audit trail and a pid allowlist. Requires Windows 10+ and Python 3.9+ with uiautomation and pillow (installable from the settings page).

Cipher memory platform as a DSH bundle: four memory types (attention, experience, preference, cognitive) sedimented per turn by four memory agents, cross-session deterministic recall injected via systemPrompt.context, insight review kept out of user-facing output, per-session UNNI/LOOP modes with memory-driven auto-continuation, memory search/ingest tools, plus a settings page (SOUL editor) and an AgentPool panel.

A dsh web plugin that wraps the running Harness in a native Windows desktop window: it bundles a Wails v3 desktop client (so installing the plugin is enough), probes the web port and writes the ~/.dsh/dsh-web-port.json protocol file for the client, registers a system tray, desktop/Start Menu shortcuts and a startup autostart toggle, and the client can start dsh itself if it is not running.

Input prediction for the DSH composer: your next prompt suggested as ghost text after each turn, accepted with Tab. (autocomplete / input prediction / prompt suggestion)

Codex-style message navigator for the DeepSeek Harness Web UI: a tick per user message along the conversation edge, hover or click to preview and smooth-jump to the message, with full history auto-loading.

One-step GitHub uploader: initializes git, auto-creates or improves README, sets repository topics, and pushes a local project to GitHub.

One-click/auto sync provider model lists against /v1/models endpoint.

Five casual mini-games (sliding-number puzzle, Sudoku, snake, Schulte grid, number memory) that pop up when a turn starts, with auto-saved progress across sessions.

Tauri 2 desktop application for Windows that detects (or installs) the global @deepseek-ai/dsh package, launches the DSH Web server and embeds it in its own window, with system tray management, login autostart, a global hotkey and desktop shortcuts.

Context manager for DeepSeek Harness: auto-summarizes every turn into priority-sorted records, injects them plus pinned cross-session notes and custom text into each model request, and folds any-size real conversation ranges into summaries to save tokens. Persistent and restart-safe. NOTE: manual multi-step install — copy the three package folders into profiles/node_modules and add the provided cordis.patch.yml rows, then restart DSH; not a standard one-command install.

Real DeepSeek account balance and official spend tracker in the session header, with peak/off-peak badge, monetary alert with auto-stop, and one-click top-up.