Plugins

Ranks models in a ten-slot ladder, routes each subagent by a 1-10 difficulty, and falls back a tier when one fails. Windows only; applies to sessions that opt in. Subagents can also launch local agent CLIs (Codex verified, nine others experimental), and a subagent granted full authority runs its CLI with --dangerously-skip-permissions, --yolo or --force. Run records go to .dsh-supa/ in the workspace.

A slim tool strip beside the conversation: one-line notes into a sticky note, a follow-up or a reminder (the sticky-note and follow-up modes need the dsh-sticky-wall and dsh-followup plugins installed); selected text quoted, saved or handed to the model; saved prompts into the composer in one click; a recap of this thread or the previous one; a read-only panel for context use, tokens, subagents and open follow-ups; plus custom entries that open a path or run a command.

Manage Claude Code, Codex and Grok CLIs inside dsh and dispatch tasks to them as headless subagents, with dsh models, skills and tools bridged into each task, resumable CLI subsessions, and a hierarchical task board in the right sidebar (the board tab requires the separate DSH-better-sidebar plugin; without it the tab is not registered).

Show workflow stages and subagents on a timeline, configure model and concurrency for each stage, and reopen subagent conversations from the panel. Run names and stage settings persist under ~/.dsh.

Batch-manage DSH sessions: sidebar multi-select, a dashboard tree of main sessions and subagents with token/cache/context stats, bulk archive and cascade delete, and recall of ungrouped sessions into re-added workspaces.

Route table assigning provider, model, and reasoning effort to subagents by workspace directory prefix; supports global default policy and in-composer session popover.

DSH Pixel Team：DeepSeek Harness 的像素洞府多智能体团队协作与交付流水线（AgentTeams 衍生，MIT）。

Restart the Harness itself and come back: a dedicated restart_dsh tool hands the session over to the next process, which resumes it, replays the pending instruction and wakes the subagents again.

Named roles, model route guards, native configuration, and request-model visibility for official DeepSeek Harness subagents.

Better Session Topbar: replaces the session topbar title with a workspace and session breadcrumb, switching workspaces, sessions and subagents from topbar dropdowns; adding a workspace hands off to the host's own directory picker, which is the OS folder dialog on desktop.

Enhances native DSH subagents and teams with persistent subagents, improved subagent messaging, and per-member model selection for teams. Adds no extra tools or context beyond the native features.

Read-only terminal view tab in the conversation header: aggregates bash output, background jobs and persistent terminal sessions from the current session, subagents and Agent Team teammates into one filterable panel, with type and session-scope filters, command/output search, auto-collapse, follow-scroll and a maximize dialog; foreground bash shows final output only. Requires DeepSeek Harness 0.2.1-rc.2 or later (0.2.x).

Evaluation guard for DSH: workspace-only filesystem, no network/subagents, wall-clock limits, and task installation for meow-ai-arena and benchmark tasks.

Task-tiered session notifications for DSH: marked main-line sessions alert as they finish, other sessions batch into one summary, plus balanced and silent modes; per-event sounds or uploaded audio, per-session mute, click-through notifications, and an option to wait for subagents.

Recursive delegation for dsh agent trees: a preset plus Host limits bound what each subagent may do, subagents work in separate _agents/ workspaces, and the parent decides which results to integrate.

Settings page for agent modes (presets): switch up to 15 capabilities per mode (commands, files or read-only files, web, subagents, and more) or individual plugin rows; edit each mode's system prompt with variable checks, a full preview, version history, optional live updates for running sessions, and an approval-gated mode_prompt chat tool; create modes from four starter templates or copies; merge built-in updates after a dsh upgrade while keeping your changes, and turn off rows that fail to load.

Derivative of dingminhua/dsh-subagent-default-model (do not install both): routes subagent delegations by role with candidate pools, cross-provider failover and fork window slicing; shows running subagents in a header panel with duration and token counts; supports mid-run and batch model switching and exposes routing tools the model can call. Subagent pages also carry a context / usage stats strip (context occupancy, output speed, cache hit rate, token buckets) and a model menu limited to that page’s whitelist — a pick outside the whitelist is substituted with an allowed model instead of running unlisted.

Role-based expert subagents for DeepSeek Harness with a task sidebar: explorer, librarian, oracle, designer and fixer delegate in parallel, each with its own model and reasoning depth.

Pick the model your subagents run on — with a reasoning-effort ceiling and an output-token cap — enforced in code on every child DSH starts, whichever tool starts it.

Replaces the session topbar title with a workspace and session breadcrumb, switching workspaces, sessions and subagents from topbar dropdowns; adding a workspace opens a dialog shaped like the native one, which can hand off to the system folder picker.

Self-organizing multi-agent clusters with no orchestrator. Real DSH subagents coordinate through a shared append-only log that each agent reads and writes on its own schedule, with no topology and one dispatch per agent; a snapshot mode is also included where the harness freezes each neighbour view into the prompt and drives a ring/mesh/swarm cluster to convergence.

DeepSeek Harness plugin: declare named subagents in TOML files under ~/.dsh/agents and <projectRoot>/.dsh/agents

Session cost in rubles in the composer dock — the tariff in effect with its countdown, the API cost at that tariff, the CBR rate, the total including subagents, cache savings, and DeepSeek Platform balances.

Live token cost for every chat in the DSH Web UI: the chat, its subagents and the whole session tree, priced from a bundled models.dev snapshot of seven providers and 139 priced models, with cache read and write rates wherever the provider publishes them and DeepSeek from its own peak and off-peak table. Every finished answer carries its own price in the transcript, and a chat that is not currently open is priced from the log instead of disappearing. Spend is costed per interval from an append-only JSONL ledger in the project folder, so logged work keeps the tariff it was billed at. On top of it: budget-aware work plans packed against a money limit, routing scenarios that show which models are worth connecting, a generated plan document in English, Chinese or Russian, and a warning when spend belongs to no plan unit.