Plugins

One-person-company operations SOP for DeepSeek Harness: 8-field company profile, a daily cycle from morning brief through two execution shifts to an evening report, ledger and cash-snapshot conventions, quote/contract shapes, and six red lines with a human-approval outbox.

Read-only Home Assistant panel for DeepSeek Harness: a full status overview, a compact right-sidebar card, a system-prompt environment block, one read-only ha_status tool, and optional browser notifications on Home Assistant down/recover. Configure the instance URL and token once; it does not control devices or change Home Assistant configuration.

Workout logging plugin: a fitness_log agent tool (log, history, stats, weekly plans) storing data in local SQLite; the repo also ships a separate optional left-rail panel bundle under ui/.

macOS Computer Use for DeepSeek Harness: the agent reads accessibility trees, captures screenshots and drives real desktop apps, mounted on the 0.2.1-rc.5 line with a separately built native helper. macOS only.

Adds three tools that hand DeepSeek Harness downloads to the Rayburst aria2 engine — rayburst_download, rayburst_wait and rayburst_status. Requires the Rayburst desktop app (aria2-next) installed and running on the same machine; the plugin reads its aria2.conf for the RPC port and secret.

Local-first resume warehouse for DeepSeek Harness: package your work into reusable bullets, import an existing resume into a template, analyse a job description (including the school-tier preference it implies), assemble a tailored Chinese or English resume and export a PDF named position-name-school. The whole app ships inside the npm package — server/, web/, skills/, scripts/, requirements.txt, no git clone needed — and one tool starts, stops and health-checks it; the first start installs the dependencies into app/.venv. Needs Python 3.10+ and macOS or Linux (bash). Nothing leaves the machine except the LLM calls you confirm.

For the DSH Go phone app (https://go.dshtui.com): watches the quiz screen and pushes each answer as a heads-up notification, using an optional local answer bank.

Local media toolbox for DeepSeek Harness: converts files between 27 video, audio and image formats, trims clips, extracts audio or video tracks without re-encoding, exports embedded subtitles to .srt, compresses images with a before/after preview, reads and rewrites metadata, and encodes or decodes Base64 — all through the ffmpeg already installed on the machine, so files never leave it. The same engine is registered as a media_toolbox tool agents can call.

Per-workspace personal knowledge base for DeepSeek Harness: each identity gets an isolated local library — import PDF, Word, Excel, Markdown, text, HTML and images, auto-chunk and embed into SQLite with FTS5 + vector hybrid retrieval, then ask questions in chat with numbered citations back to the source. Local-first, no cloud upload; vector embeddings need a local Ollama (default bge-m3), and without it retrieval degrades to FTS5 keyword search.

Wall-clock session and turn timing for the DSH Web GUI: a timer chip in the session header shows the session total, every finished turn shows its own duration above the action row, and a sidebar panel totals today, the last 7 days, the last 30 days or all sessions. The numbers are folded from turn/start and turn/end in the session log, so paging, compaction and restarts do not change them.

Sync DeepSeek Harness sessions and workspace files to a private GitHub repository for cross-device handoff, with sync badges, search and bulk upload, independent local/remote delete, conflict "pick a side", and multi-device-safe index merging.

Adds a work-without-a-project option to the project picker, creates a dated working directory from the first message, and groups these sessions under a native Recent section.

Gives an agent tools to open foreground sessions, prompt them in queue or steer mode, read the transcript back, cancel a turn, and get the authenticated URL of the local web app.

Share a DSH conversation without making the recipient install anything — copy a 24-hour LAN link, export a self-contained web page they can open offline, or import a .dshchat file as a real resumable session when both sides run the plugin.

Adds two entries to the DSH web sidebar above the settings row: a batch picker that groups sessions by workspace, filters them by a search box and moves the selected ones into a recycle bin, and a recycle bin that restores sessions one by one or all at once, or permanently deletes them. The recycle bin keeps its own list in browser storage and hides its sessions by wrapping the host session-visibility check, so it does not use the host archive; a moved session keeps its log on disk until it is permanently deleted. Sessions that are currently running are refused and reported instead of being moved.

Injects your own text into the DeepSeek Harness system prompt as real system sections from a sidebar editor: each section lands after the persona, after the tool docs, or at the very end of the prompt, can be switched on or off, and can resolve {{variables}}; a preview runs the host's own assemble and render pass so you see the exact prompt the next request will send, with empty, duplicate, unknown-variable and oversize sections flagged.

Adds lasting bots with their own name, photo, persona, memory, voice and model, a Bots panel in the sidebar, and a hidden helper subagent per bot that follows the conversation, searches ahead and leaves notes the bot reads; voice uses your own ElevenLabs, OpenAI, Groq, Mistral or Deepgram key. Interface and prompts in Brazilian Portuguese.

Give your agent an external emotion state machine: several axes (0-100) that drift over time and move when you speak to it. Each turn the plugin injects which band you are in plus which tags you may use. The numbers belong to the plugin: the model reads them from the injected prompt and can change them only through the plugin's own emotion tools, never by asserting a mood.

QQ protocol backend for DeepSeek Harness on Linux: boots LinuxQQ and NapCat with the engine (first run installs them, about 250 MB) and exposes a standard OneBot 11 endpoint.

Remembers the model used before quitting and restores it as the startup default.

Connect DeepSeek Harness to the local Codex CLI with dynamic model discovery, image input, Harness-owned tools, and read-only ChatGPT plan and quota display.

After user setup, guides native subagents toward model preferences by task type, using native model-selection permissions with no extra routing-model calls.

Local LoRA and QLoRA fine-tuning in a panel: import JSONL, see a VRAM estimate before training starts, evaluate, and export an adapter. One-click Python venv setup, but you must supply your own Python 3.10+ and an NVIDIA GPU (6 GB or more). Verified end to end on Windows 11 with an RTX 3060 6 GB; the installer refuses non-Windows hosts, so Linux, macOS and other GPUs are unsupported for now.

Adds MiniMax open-platform models to the DSH model picker: paste the API key in Settings and MiniMax models become selectable, with the M Plan quota windows shown beside the composer.