Plugins

Suggested next-step prompts under every finished agent turn in the DeepSeek Harness chat: the model proposes a few followup prompts at the end of each turn, they render as clickable cards under that turn, and clicking one sends it verbatim as your next message. Each card stays attached to the turn that produced it across reloads and restarts, the generation language can be chosen from 15 languages or follow the conversation, and a settings page in the dsh settings covers the language, how many suggestions per turn, the header and the in-app update check. Requires DeepSeek Harness 0.2.x (web profile) and Node.js 20+.

Real session deletion for DSH: trash by default, plan before delete, audit log, residue receipt

Visual review for the harness browser: pick any element to comment on it, adjust styles live with rollback, sketch on a free-form annotation canvas, and send everything as structured context attached to the next message, with a cropped screenshot per pin or the whole visible viewport composited with the drawings.

PortWrench panel for DSH: view local listening ports, see which app owns each one, and close the target process tree. Requires PortWrench (Windows) to be installed and running.

Adds next-message prediction, inline draft completion, and prompt optimization to the DSH composer, with a call budget, request stats, and glossary protection in Settings. A fork of Somnus678/dsh-input-assistant; both put their controls on the same composer, so do not install the two together.

System Duo for DeepSeek Harness. Make your agent think fast and slow: System One decision models triage, guard, shield, mask and check your agent loop beside System Two (vllm-sr/auto), with a free app.vllm-sr.ai key.

Configurable serial agent-team workflows with a Manager, role Actors, an independent Judge, and a visual workflow editor.

Scans a repository with its bundled Python 3.12+ tools and scaffolds one Markdown outline per source directory, then publishes the index with a hash manifest that proves the documents match the code; the bundled reader verifies that manifest before serving an overview or one document. The project root needs a project_docs/ directory and a CLAUDE.md entry point.

Delegates mechanical text work (translate, summarize, extract, classify, rewrite) to an Ollama-native or OpenAI-compatible endpoint by file path, so the source text never enters the main model's context. Registers local_transform, local_batch and local_health; per-workspace local-AI levels (none/light/default/high/max) add a local_worker subagent and a plan-only mode; an opt-in SlaveAgentTeams switch discovers mounted model routes, runs parallel child agents with node-level failover, and registers the endpoint chain as llm-pi-ai routes. Configured from the Web GUI; requires a reachable endpoint.

AI team with a pixel-art office showing each teammate's status and daily trail. A lead runs project sessions; daily caps per teammate. DSH Desktop, macOS only.

Bridge DSH sessions, prompts, tool calls and approvals to CodeIsland's macOS notch, including the latest reply on Stop.

Connects DSH to timestamped video reading, shared queues/history and Scroll personal Bilibili workflows through an existing Video Reader installation. Windows x64 only: install the core and set VIDEO_READER_ROOT before starting DSH; the bundle does not install Python, FFmpeg, models or Bilibili credentials.

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）。

Delegate subtasks to Herdr-managed coding agents from DeepSeek Harness: pick the model, keep the pane, harvest the exact result, review in DSH.

Turns an ordinary conversation into a guided study session, keeping progress and lectures as dated files that survive a restart. A Study tab shows how far you have got and which ideas are still shaky without writing anything, and a Lectures tab lists each course's lectures as draft, dated, or archived.

Hogwarts-loop as a DeepSeek Harness plugin: per-role subagent dispatch on configurable models, with a client settings page.

Local AOSP Android VM for DeepSeek Harness: preview rooted APKs at up to 60 fps, automate UIAutomator flows, and give each Agent an isolated VM.

DeepSeek Harness plugin for skill-healthcheck: keeps the skill journal while dsh runs and adds /skill-healthcheck to the chat.

Scientific figures as code: agents create a versioned figure IR, patch it incrementally (one node at a time — untouched objects never move), and export publication-ready, true-vector SVG / PDF / PPTX. Seven papercanvas_* tools (create, get, patch, layout, lint, render, inspect) over a deterministic engine with FC001-FC008 quality lint and CJK-aware font resolution. Verified on DSH 0.1.5-rc.3 through 0.2.2-alpha.2. By the author of dsh-sessionflow. Requires the PaperCanvas engine installed separately: Python 3.11+ and the papercanvas CLI (not yet on PyPI — install it from this repository, put it on PATH or set papercanvasBin); the plugin is a thin adapter and ships no engine.

Project-scoped SQLite memory with progressive retrieval, bounded context, a composer button and visual review. Install the repository-root DSH bundle, then run /learning-init with an absolute project path using local Python 3.10+.

Lists Claude Code and Codex sessions in the DSH Workspace browser, where they can be opened, continued, pinned, renamed and archived, with terminal, file and git tabs.

Provides snapshot-based research and question answering for individual A-share and US stocks.

DeepSeek Harness (DSH) plugin: injects a bounded, timestamped snapshot of your local Second Brain (identity + state fingerprint + pointers) into every new session's prompt. Read-only, zero-write, fail-loud, zero dependencies. 第二大脑载入器：让每个新会话开局自带记忆快照。

Keeps a task tree with per-step status and serves it over HTTP/SSE, so a Windows node graph can be reviewed step by step. The tarball ships the host and web halves; the Windows node-graph companion is built from source.