Plugins

Nightly self-improvement for your DeepSeek Harness agent: harvest past sessions offline, replay recurring tasks on your own API budget, and consolidate validated skills behind a held-out gate. Brings microsoft/SkillOpt's SkillOpt-Sleep engine to dsh as native tools plus a bundled skill - no weight training. Requires Python 3.10+ and the SkillOpt-Sleep engine (pip install skillopt).

Full local-first issue board embedded in the DSH web GUI: Kanban / list / Gantt / workflow / dashboard views, AI chat per task, attachments and labels, auto-claim of todo tasks driven by dsh-routines — data lives in local SQLite (dsh plugin add @ttmouse/dsh-taskboard).

Google Antigravity CLI (agy) as a DSH product subagent: delegate tasks to a Gemini coding agent with your Antigravity login (no API key), with conversation follow-ups, background streaming progress, image analysis by path, and a pop-up login window.

GPT plans dependency DAGs, DeepSeek workers execute tasks with adaptive parallelism, and an optional GPT reviewer audits incremental Git diffs and drives repair rounds.

Adds persistent execution contracts, recursive work graphs, critical clarification, and evidence gates for long or underspecified Harness tasks.

DSH port of TaskPlane: dependency-ordered waves run in parallel git-worktree lanes, with task packets, cross-model review, and crash recovery.

A faster, more efficient, and more accurate coding Agent preset. On 100 hard SWE-bench Pro tasks selected using multidimensional difficulty criteria, average elapsed time decreased by 36%, average input tokens per task decreased by 17%, and accuracy increased by 5 percentage points.

Mind-map project planning with blocking drift protection: plans, modules and tasks as a dependency DAG with topological execution order, an agent position marker, a human approval gate on every board edit, git cross-checks, and evidence-gated task completion.

Captain-led multi-agent teams that split a goal into tasks and dispatch them along an execution chain to members running in their own sub-sessions, each with its own model.

SQLite memory entries, a calendar with due-time reminders, and cron-scheduled agent tasks, with 13 model tools and a bilingual zh/en UI.

Canvas task board ported from CodexFF: hierarchical parent/child tasks with boundaries, snap-aligned draggable panels in a conversation view tab, plus `board_*` / `task_*` agent tools and a sync skill.

Scheduled tasks panel for managing DSH agent and system crontabs with natural language input and execution logs.

Scheduled DeepSeek Harness Agent tasks with mandatory end-to-end tests, run history, and bidirectional delivery through nine messaging channels.

Supervisor-style workflow orchestration over top-level sessions: confirmation-gated batch dispatch, team workstreams, steering running tasks, idle-wait collection and live model-route discovery across 11 task_* tools plus a /tasks slash command.

DeepSeek Harness rate-limiting plugin that prevents API 429 errors during long-running tasks, with task retrospectives.

Agent preset bundle for wish and task management: create wishes or tasks from conversation, opportunity-day check-ins, micro-actions, plus a memory store and progress charts in the web UI.

A conversational voice frontend Agent for dsh: speak naturally over ByteDance Duplex, delegate requests to background tasks, and hear their asynchronous results reported by voice.

Archived-session management, task-stop notifications, an update checker, model routing (keyword rules + allowlist-gated model_route), multi-task scheduled triggers (heartbeats and fixed-time tasks), and a DeepSeek-style message scroll nav for the dsh web GUI.

Automatic Flash/Pro routing for DeepSeek Harness subagent calls: light tasks run on a cheap model (e.g. V4 Flash), heavy tasks stay on the strong model — with per-call overrides and /delegate session modes.

Native A2A (Agent-to-Agent) server for dsh: expose this dsh as a callable agent over HTTP with JSON-RPC tasks.

Exposes the DSH workspace as an HTTP API: browse, search and read files, and run natural-language agent tasks that answer with cited sources.

team-task for DeepSeek Harness: long-horizon multi-agent tasks — a lead plans a reviewed DAG, durable members execute, an event log is the single truth, and a resident reconciler survives crashes and restarts.

Shut down Windows automatically after DeepSeek Harness tasks complete — a floating arm button plus a cancellable countdown banner (shutdown /a), zero runtime dependencies.

Sub-agent matrix swarm that routes heterogeneous tasks to the most suitable model from an OpenRouter-like gateway plus cfgpu.com/llm/square, dispatches each via in-process subagents or direct LLM calls, and tracks per-model token consumption with a feedback-driven ranking.