Plugins

Keeps a pool of models and routes every agent step to one of them with its reasoning effort set — configured by clicking in the composer, no JSON needed. The router takes over the composer's model cell, so one control shows the session's model and reasoning effort alongside the router's own settings. Three authorization scopes (model / effort / full) where a manual pick only counts in the scope that owns it, and in effort scope the router is bound to the one model you choose. Task presets with per-model weights, vision routing for image steps, session signals (active todo, context pressure, token budget, subagent depth), and an optional semantic task classifier. Thinking stays on, because DeepSeek rejects a thinking-enabled request whose history contains a tool call made with thinking off.

Per-model system prompt injector for DeepSeek Harness: append custom prompt text to the END of the system prompt for locally configured models, matched by exact provider/model route or a provider-wide provider/* rule (both stack in order). A Settings page lists every configured provider and its models for per-route editing with instant effect, and rules persist to DSH_HOME so they survive restarts. Applies to main sessions, subagents, and workflow children alike.

Shows DeepSeek account balance and current-session token and cost usage in the sidebar footer and composer dock, including peak and off-peak billing and subagent consumption.

Ownership-checked tools and HTTP routes to list, release and permanently delete subagent sessions, with automatic web UI refresh after deletion.

Full-type session lifecycle management: one-shot subagents archived on completion, idle continuable subagents / main sessions archived (recoverable), a capacity cap, projection-cache cleanup, and a hot-reload settings panel.

Host-side orchestrator for DSH agent teams. Every turn it injects an 11-section orchestration methodology into the system prompt and backs it with a counting tool-layer gate, so parallel dispatch, task-board tracking, cross-session handoff, employee-pool reuse and preset routing become the default in any preset and any session instead of something you have to ask for. The gate counts real dispatches (subagent / subagent_fork / spawn_teammate) rather than words: a todo listing N unmarked items only needs the base threshold, items explicitly marked as parallel must be launched in one batch up to a configurable cap, and a genuine single-step task is exempt by writing one marker. Read-only tools (read, glob, grep, context-management tools) are never gated. Team members are woken up and reused before new ones are hired, and subagents are reserved for work that must run under a specific preset. Local-only settings (preset routes, domain keywords, profile name, active tier) live in <DSH_HOME>/team-orchestrator.local.json and never ship inside the package. Status is exposed on a loopback-only HTTP route. Zero telemetry, no hosted service, no account. Adapts DSH kernel 0.2.2-rc.1.

Pressure-aware session handoff for DeepSeek Harness: writes a handoff doc before a long session degrades, then continues in a fresh session in the same workspace. Subagents are snapshotted, still-running ones are interrupted, and unfinished tasks are handed to fresh subagents; a session without subagents simply gets the normal handoff. The handoff request itself is editable from the panel. A status pip and its label shade from green to blue to amber to red as pressure rises.

Multi-agent agent team of employee AI subagents for DeepSeek Harness — dsh-company: employee management, CEO bidding, n8n workflow orchestration, drag and drop canvas. DeepSeek Harness plugin with seven built-in roles (project director, product manager, tech lead, engineer, data analyst, QA, reviewer), each with its own persona, model and tool whitelist. Broadcast a mission and the employees bid for it themselves — the first line of their answer must be 【accept】 or 【decline】 — so accepted work runs in parallel instead of down a pipeline. The workflow canvas wires employee nodes with the start node, references each upstream result with {{input}}, and runs the graph in topological layers: parallel across employees, serial per employee, downstream skipped when upstream fails. Ships a web panel for the employee management tab, the mission board and each employee's transcript, the /dsh-company slash command, a live mirror into the built-in agent-team panel, deletable missions, and a private memory directory per employee.

Control plane for the harness's own Agent Teams: members are ordinary independent sessions created through the same seam the GUI uses, each with its own model, so they open and continue like any other conversation while a sidecar roster and task board coordinate them. Task entries carry a definition of done, a member's completion is submitted and waits for the Lead's review, and availability tells idle apart from awaiting-review or a failed last turn. With delegationEngine=auto it uses independent sessions, continuable subagents, or the kernel roster depending on what the composition provides.

DSH Studio: build, edit and apply DeepSeek Harness agent presets — tools, prompts, Configs and role-based subagents — from the web GUI.

Bridge DeepSeek Harness sessions to Cherry Studio desktops over the LAN - QR pairing, 15 cherry_* tools for agents, sessions, history and interactions (including uploading local files as attachments and reading desktop-uploaded images back as image blocks), a settings page for devices and per-workspace tool scope, and an experimental subagent that delegates the way DSH's own subagent does (Claude Code / Codex style) with the child running on a Cherry Studio agent.

Windows desktop notifications for DSH that speak the turn result by default: Windows TTS needs no download, and 13 VOICEVOX voice packs can be installed from the settings page. A completed alert waits until running subagents and background jobs finish; approval, question and error alerts fire immediately. Voice packs are downloaded from GitHub after a terms confirmation.

Runs a Douyin subagent that browses videos and reads comments in valley hours and reports back, with dy_* tools for publishing and replying (comments sent from the already-logged-in page with its own request signature, no IM ticket), a daily quota timer, and a settings panel under Settings → Douyin: master switch, auto mode, valley windows, rounds per day and report depth. Windows-oriented; needs the separate douyin-mcp binary (yunsur/douyin-mcp releases, path set via dy_config mcpExe) and an Edge/Chromium login; replying needs a logged-in browser on a CDP port; publishing needs extra credentials most accounts lack.

Model settings panel for DeepSeek Harness: set the default model for new sessions, plus separate provider/model/reasoning-effort overrides for subagents and goal rounds, with live reload.

Agent plugin for major harnesses — DeepSeek Harness (DSH), OpenCode, Pi and Codex: define custom AI agent roles with per-role prompts, models, skills, permissions, memory and multi-agent orchestration.

Adds Delete conversation and Batch delete to the sidebar session menu; a deleted conversation and its subagent sessions are moved to the Windows recycle bin, from where they can be restored.

Four adjustable terse levels plus independent switches for reasoning effort, web search and subagents, on the conversation header and in the Settings page. No output ceiling.

Select text in the DSH Web GUI and ask about it in place (floating button, or the Alt+Q shortcut): an independent subagent that inherits no parent context answers, streaming into a side card hosted by the native right sidebar, dsh-better-sidebar, or a built-in overlay — and the question can be routed to the main conversation instead.

Settings-UI editor that assigns per-teammate model and reasoning-effort rules for DSH native agent teams, resolved at spawn time by wrapping SubagentRuntime.startContinuable. No official files are modified.

Active wait for background subagents in DeepSeek Harness: registers a wait_subagent model tool that blocks until a named background continuable subagent settles, then returns its stop reason and closing message — optional timeout, membership gate rejects unknown ids, event-driven with zero polling. Closes the gap between run_in_background fire-and-return and the async settlement notice; wait for a background subagent without polling list_agents.

dsh plugin + agent preset that replicates opencode + oh-my-openagent (omo): opencode's toolchain and system prompt, omo's multi-role subagent orchestration, and browser-side omo role selection + per-role model/fallback settings.

Orchestrates durable multi-agent teams from one DSH session: a captain spawns member subagents, drives a dependency-aware task DAG with quality gates, and coordinates through persistent mailboxes, with a live activity panel.

DeepSeek homepage-style theme skin for the dsh web GUI: fluid particle background, glass sidebar and composer, running-subagent progress panel, and DSTT peak-hour color modes.