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Windows-native computer use for DeepSeek Harness: two tools drive and read any desktop app. One batch call runs find, click, type, key, read, wait and screenshot steps in a single engine pass, so a task whose steps are known up front costs one model round trip; reading returns window text rather than an image, and input and capture prefer UI Automation patterns, Win32 messages and offscreen PrintWindow so the user's focus and pointer stay untouched.

Multi-channel notification plugin for DeepSeek Harness: dispatches in-page toasts in the foreground and PWA system notifications (Service Worker) or browser notifications in the background, with per-event toggles for task complete, approval request, question, plan review and errors, persistent notifications, and Web Audio synthesized alert sounds without audio files.

Zen Mode view tab and foreground time tracker for DeepSeek Harness: while the agent works, a calm conversation view shows running/done status, your latest user message, live activity hints and the final AI reply in markdown with one-line turn stats, plus screen-watching (focus) time tracking with daily/weekly Zen scores, a chat-hide toggle that hides tool calls and reasoning rows, auto enter/exit Zen on task start/complete, an Alt+Z shortcut and a Zen settings panel — pure client-side, stored in localStorage, no network.

Obsidian daily notes, tasks and Day Planner time blocks in the DSH sidebar: a Monday-first month grid with per-day word-count and task dots, a compact timeline for HH:mm time blocks, the selected day's diary excerpt and task list, and write-back of checkbox state, task text and times to the Markdown files; a first-run wizard detects the vault or accepts a path.

Always-on-top lamp board for macOS: one lamp per agent, one row per session, collapsing to one lamp per running task; a lamp turns blue and blinks while an approval or a question is waiting on you, and the root agent finishing raises a system notification.

Session-header task capsule with color-coded run states, click-to-jump and a multi-task dropdown, plus task notification cards (done / error / waiting-for-confirmation) with synthesized sound and optional system notifications.

Bridge a Feishu bot to a DSH session: open a real session in a workspace, run tasks with the existing model and plugins, and report results back.

Automatically orchestrates complex DeepSeek Harness requests. It detects when delegation is useful, builds a dependency-aware plan, assigns bounded researcher, architect, backend, frontend, tester, and documentation workers, collects structured evidence, and sends the results to a final reviewer. The bundle atomically enables the workflow engine and model-facing subagent tools; disabling the plugin disables its complete tool group as well.

Ships a skill about handing work to subagents instead of doing it inline - which tasks are worth fanning out, how many to run at once, how to send them in parallel, and how to check what they returned instead of trusting the summary.

Skill routing for DeepSeek Harness: embeds skills and each user task with a local model, keeps the clearly-relevant skills with a gap-based selection rule, and auto-injects their full bodies into the prompt.

Flip the DSH page over to a glass task board showing live jobs, subagents and session state, with an infinite canvas that unrolls a card into draggable controls, embedded web-app frames, and a conversation box that edits the canvas.

Feishu multi-agent robot console: start, stop and reconnect the daemon, view status and recent activity, and jump to the task workspace.

ETeams for DeepSeek Harness: captain-led multi-agent team collaboration with execution chains, task slots, member dialogs and persistent state

DSH cordis plugin: task dispatch, session wake-up and completion reporting through the AstrBot dsh gateway.

DSH host plugin: promote the workspace you just submitted a task in to the top of the sidebar — once per submission, and never while the task is running. 提交任务时把该工作区置顶，任务执行期间不重排。

Run RunningHub cloud ComfyUI workflows from chat — settings card, sha256 media upload cache, concurrency gate, and background task ledger.

DeepSeek Harness plugin: drop a hint into a running task and the agent picks it up at its next step — without interrupting it and without polluting the chat history. · 旁路提示：任务执行中插一句话，AI 下一步即刻参考。

Drives the GME Test Agent from inside Harness: three tools list interface catalogs, start and repair autonomous test generation in a local Python backend, poll the task until review, and keep PR, skip and cleanup actions behind explicit user consent.

Replacement session-title provider that compresses oversized or code-heavy first prompts before calling the model (in the tested DSH version the built-in provider rejects inputs above 4096 bytes without a model call) and waits for a real task instead of titling a greeting. Titles use the session’s own provider and model by default and manual titles are protected; title rules cover a character cap, an optional date affix, style, language and exclusion words, plus a per-session lock. Also re-titles stored sessions in bulk, with a progress overlay that keeps running after Settings is closed.

Anchored Standard preset with GPT Patch mode: task-aware first-request anchors using the bundled OpenAI Codex apply_patch instead of edit/write. Built for GPT/Codex models.

DeepSeek Harness bundle for ZenTao MCP, task/bug workflows, reports, and verified formal effort recording.

Three-mode visible-session advisor plugin for DeepSeek Harness with configurable tool permissions, local-subagent coverage, and task-tree budgets.

Task management for the DeepSeek Harness: the session todo list, a project task board backed by a queryable SQLite database, and board cards dispatched to the agent as background jobs

Floating Markdown note card for the DeepSeek Harness web GUI: per-session multi-note spaces, long-press marks with four colours, italic and underline and your own remarks, clickable task boxes, a repair flow for marks whose text moved under them, reading-