Plugins

Dispatch work to DSH agents from Claude Code or Codex: native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge for vision and image generation.

DSH session manager: delete with trash/restore/purge, restore archived sessions, recent-activity stats, continue/pause, open log folder, unread markers, fork into a new chat, workspace grouping and sorting, context compaction threshold.

Installs four multi-agent math-research presets for DSH: v2 (probability-driven pipeline with multi-verifier debate), v3 (paper-style Markdown knowledge base with a planner agent and a reusable method library), v4 (persistent self-organizing residents that message and meet), and v5 (a research institute with an academician who decomposes and assigns work, voting researchers, temp workers, group chat and a compare-and-set task board); all four support checkpoint resume, human intervention, and an optional Lean formal-verification switch (off/encourage/require) whose passing proof turns the vote into a fidelity check of the Lean statements.

A Multitask agent preset where the main conversation only plans, briefs subagents and summarizes results, while file reads, commands, search and builds run inside subagent contexts; four worker kinds, an approval gate for dangerous operations, and zero changes to DSH source.

Multi-CLI worker sidebar for DeepSeek Harness 0.2.0-rc.2 on macOS and Windows, with task dispatch, live conversation views, stop and follow-up controls, and custom role presets.

Mobile UI shell for the DSH Web GUI: turns the desktop three-column layout into a touch-friendly phone layout (overlay drawers, draggable FAB, full-screen dialogs, infinite-scroll history) under a 1024px viewport, with zero desktop impact. - Complete mobile PWA for DSH, built on dsh-mobile-gate: secure remote-access gateway plus install-to-homescreen (manifest + service worker), offline capability, touch gestures (pull-to-refresh, edge-swipe back, pinch-zoom font), agent-done push notifications, and touch-first layout — desktop unaffected.

Agent governance kingdom for DeepSeek Harness: territories, role bindings (bind/unbind/session with model/agent identity), and a plan→assign→execute→review task loop where Worker claims never auto-complete (Claim ≠ Fact), with a local GUI operations console.

Visual round-table meetings for DeepSeek Harness — expert nodes on a ring with directed edges, an aggregation gateway, proxy thinking for black-box worker models, and adversarial review (red-team) of settled plans with per-viewpoint endorse/reject.

Self-healing Cloudflare quick-tunnel pool for the dsh web GUI: floating widget with QR phone access, generational rotation, chase service worker and prompt-free credential handoff.

DSH plugin for generative UI: the model writes an interface instead of describing one. Declarative DSL compiled and executed in a DOM-less Worker sandbox, then drawn by the host with native DOM; a sandboxed-frame escape hatch for anything the component in

Kanban task board for DeepSeek Harness sessions: the main agent dispatches tasks to one-shot worker/verifier subagents, with dependency scheduling, file-level exclusion locks, arbitration hold/freeze, milestone progress reporting, and per-task token usage stats.

Injects a per-turn skill-selection preface chosen by the local JEV model of the jev-decision-kit workspace, so the agent loads exactly those skills instead of browsing. Requires a separately set-up jev-decision-kit workspace (Python .venv, host/preface_worker.py, models/jev/head.json); without it the plugin injects nothing.

Renders live multi-agent session activity as a pixel-art office in a Web UI side panel - each session is an ox/horse worker typing at its desk when busy or wandering off when idle, with click-to-view work monitors and in-place approval cards.

【编排模式】为 DeepSeek Harness 提供多智能体编排模式：主智能体分解分派、worker 全网格互通，支持逐 worker 指定模型与思考强度

Turn another computer into a remote Agent teammate: the worker runs its own DSH and a full Agent loop locally, so dispatched tasks keep running when the link drops and its model credentials never leave that machine. The hub dispatches through 8 remote_* tools, receives only a handoff summary plus an artifact manifest, and pulls finished products on demand — intermediate artifacts stay on the worker. Pairing-code onboarding, direct or relay transport for NAT, Web panel on both sides.

Cache-first code exploration: the rdd_explore tool queries the project's .rdd/exploration index and, on a miss, dispatches a read-only worker subagent to explore and register findings; rdd_models serves the live model catalog for dispatch-time model selection.

Read-only goal-tree status strip above the composer: planners see the full node tree, workers see their claimed node, and worker reports call back to the planner session.

Windows Computer Use for DeepSeek Harness with screenshots, UI Automation, 18 desktop tools, per-Agent activation, human-input handoff, approval prompts and prebuilt native workers.

DeepSeek Harness 智能看板：任务卡片 + 一次性 Worker/Verifier 派发 + 依赖调度 + 管线分档 + Team 模式（歧义上报主窗口裁决）

Commander mode for the dsh web GUI: a one-click session header button injects a protocol brief into the session, then parses and auto-executes task blocks in the model reply — separating the strategist loop from worker loops via a visible badge.

Renders pasted/uploaded images inline in the DSH Web chat and gives text-only models vision: the model-invokable visual_review tool calls any OpenAI-compatible multimodal API first, falling back to a local Qwen3-VL worker.

Agent state machine plugin with a todo ledger, stall guard, phase trails and a process-isolated per-step Python worker with GUI automation lanes. Windows only; needs Python 3.10+ on PATH, and pyautogui, mss and pywinauto for the GUI lanes.

Hierarchical multi-agent team coordination with lead review gates, write-scope isolation, and floating workspace.

FHL Images generation and multi-reference editing for DeepSeek Harness, with three agent tools, a pool of up to ten API-key workers, and chat-based key configuration.