Plugins

SSH ops panel for DSH: web terminal, SFTP transfer with progress, local port forwarding, and one-command cluster execution across hosts; agents share the same host config.

Plugin manager tab in DSH Settings → Plugins: install from npm or git with progress, enable/disable switches effective at next startup, conflict reconciliation with undo, and one-click hand-off to a fix session.

SSH ops panel for DSH: web terminal, SFTP transfer with progress, local port forwarding, and one-command cluster execution across hosts; agents share the same host config.

Plugin manager tab in DSH Settings → Plugins: install from npm or git with progress, enable/disable switches effective at next startup, conflict reconciliation with undo, and one-click hand-off to a fix session.

Local SQLite taskboard as a native overlay page: projects, tasks, comments, relations, attachments and workflow automation, with backlog → todo → in_progress → in_review → done statuses, `taskboard_*` Agent tools that can only submit work to in_review, a headless JSON CLI and a packaged skill.

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.

Arknights: Endfield industrial-editorial theme for the DSH Web UI: cream paper, ink text, zero border radius, two switchable accent palettes (signal yellow / teal-cyan), plus optional marching-squares contour background, ENDFIELD watermark and boot progress plate.

Context engineering and token optimization plugin for DeepSeek Harness (DSH): tool output filtering, context pruning and progressive skill disclosure for LLM coding agents

Phone client for DeepSeek Harness — no app to install (PWA). Read sessions, background jobs, subagents, goal rounds, workflows and pending approvals, and talk to any session from it: streamed replies, tool-call progress, stop at any time, switch sessions and models. Also ships a GUI sidebar panel. Formerly dsh-taskwatch; the npm package is now dsh-in-hand.

Deep-read books and articles in five modes (quick, deep, knowledge map, Feynman, full book) with claim-evidence-data reports, Mermaid/XMind mindmaps, batch comparison, budget preflight, transparent background-job progress, and MD/HTML exports from URLs, files, or pasted text.

Reads assistant replies aloud via free Edge TTS or your own RVC voice models: read-aloud buttons + auto-read, adaptive chunked progressive playback (gapless long reads), one-click voice-pack installs from a registry, and a portable RVC runtime.

Qwen Image 2.1 workspace for DSH: Apple Silicon MLX or your own NVIDIA server, native reference editing, LoRA, ControlNet, inpainting, shared presets, gallery and live agent progress. Includes verified updates and an agent setup guide.

Brings active DSH sessions into a 3D 'Overcooked' kitchen: AI agents work, whale-girls wander the kitchen, and you watch from the side; status bubbles show who's cooking, waiting, or done with one-click navigation — originally built to check progress, now you just can't stop watching the whales.

DeepSeek Harness bundle plugin: a process-discipline system-prompt section plus a deterministic nudge that makes agents narrate progress between silent tool steps.

Update management for DeepSeek Harness and its plugins: semver-aware dual-source (npm/GitHub) checks for the main program and every installed plugin, a locale-aware banner (zh/en) listing updatable items, one-click updates (the main program is backed up, integrity-checked and rolled back on failure; plugins install via a temp directory without touching other packages), and a watchdog-guarded restart after updating. The settings page adds per-plugin version lamps, live update progress, and banner/notification toggles.

Expert-mode agent preset for DeepSeek Harness (v0.9.2, npm dsh-expert-mode, bilingual EN/ZH): a chief coordinator plus 17 domain-expert subagents with automatic task delegation. Features: taskboard scheduler (file-system task state machine pending/ready/running/done/failed, dependency DAG, atomic claim, retry, crash recovery), quality gates (5-stage pipeline for high-risk tasks: requirement clarity, implementation, verification, independent review, integration, with 2-round rework limit), Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (~28% token savings), expert persistence, inter-expert file message bus (direct P2P comm, zero coordinator relay), cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance, backend, DevOps, database, QA, security.

Cache-stable progressive tool discovery: a fixed tool_search and tool_dispatch surface on every request, in-memory catalog search, nested dispatch through the Harness pipeline, and a byte-stable native tool list across discovery.

Local literature knowledge-base RAG for DSH: hybrid BM25 + vector retrieval, cross-encoder reranking, cited answers with section- and page-level provenance, metadata-only refresh and background ingest with progress polling, over a SQLite index.

Progressive-disclosure MCP gateway that searches large remote catalogs through `mcp_search`, then invokes exact schemas through `mcp_call` with lazy connections and bounded caches.

Hermes-style tool search & slimming: progressive disclosure, semantic search, describe, and call long-tail tools on demand while core tools stay eager.

Global cross-session todo list in the sidebar that the person and the agent both write to: ten global_todo_* tools add, batch-capture, update, attach documents and links to, append progress notes to and complete items from any session, and each item can be handed to an agent session in one of four modes with the outcome recorded on the item. The list is a single JSON file.

DeepSeek Harness (DSH) 跨会话记忆插件：对话模型边干边记的 Markdown 项目记忆，支持专题文件渐进式披露、可选后台静默蒸馏、按项目隔离与热更新设置面板。机制对齐 Claude Code auto memory。 | Agent-maintained cross-session Markdown memory: progressive-disclosure topic files, opt-in silent distillation, per-project isolation. Claude Code-aligned.

XiaoTangYuan, an in-game AI companion for single-player games: understands the game screen, chats by text or push-to-talk, and speaks replies aloud; Stardew Valley is supported, with Don't Starve Together and Oxygen Not Included integrations in progress.