Plugins

Runs Midscene on the models already configured in DeepSeek Harness instead of separate third-party API keys: hosts an OpenAI-compatible bridge on 127.0.0.1 (default port 8787, automatically skipping occupied ports) that proxies chat completions, streaming and non-streaming, to the DSH host model layer, so DeepSeek official routing, CodeBuddy, Codex and custom OpenAI/Anthropic endpoints all become available to Midscene agents while credentials stay inside the provider plugins and the bridge never touches them. A `/v1/midscene-env` endpoint generates the four MIDSCENE_MODEL_* environment lines with the model family inferred, and seven built-in skills — browser, desktop, Android, iOS and HarmonyOS automation plus a Vitest E2E skill and a Midscene knowledge reference — appear in the session skill catalog without `npx skills add`. Install from npm with `dsh plugin --profile web add @tnnevol/dsh-midscene`.

ChatGPT account sign-in for DeepSeek Harness through a Codex browser OAuth flow with no API key and no workspace selection: subscribes the login to pi-ai's Codex provider, lets you set the global default Codex model and reasoning effort for new sessions, refreshes the model list from the signed-in account's own catalog endpoint, and shows the five-hour and weekly usage windows in the composer.

A Live2D whale-girl companion for the DeepSeek Harness Web UI: the model stays on screen and reacts to what the agent is actually doing (thinking, tool calls, streaming text, errors, turn completion); click her to send the agent a message and watch the reply stream into a speech bubble; right-click for a menu of expressions, dress-up items, desk scenes and one-shot animations, every action mapped from the original model author hotkey sheet so nothing overlaps and everything expires on its own. Non-commercial model assets (CC BY-NC-SA 4.0), MIT code, by Andersen216 (https://github.com/Andersen216).

Local-first MCP App for scientific figures. Import, review, and publish a global library on disk; reuse exact templates in Pi, DeepSeek Harness (dsh), Claude, Codex, Cursor, and Wisp.

Unified MCP, skill and expert management board for DeepSeek Harness: connection status, tool schemas, enable/disable and reconnect for MCP servers across global and per-project scopes, enable/disable of SKILL.md skills, attach/switch/detach WorkBuddy expert personas in any conversation at any time (429 experts) with no mid-session preset lock, a tool tailor that scans local session logs for per-tool call counts, error rates and context-token cost with one-click disabling, and three install markets (SkillHub 190k+ skills, WorkBuddy connectors, 47 verified built-in services).

Asset governance console for self-hosted AI infrastructure. Registers MCP servers, skills, agents, AI apps, model channels, SaaS connectors and NAS storage in one ledger with a lifecycle state machine, per-tool RBAC permission points, department x agent x skill cost attribution, dependency topology and an append-only audit trail. Self-hosted, MIT, no hosted tier and no cloud contract.

Task board for DSH: create tasks with project and model assignment, run them manually or on cron schedules; new sessions in a project automatically pick up its todo tasks and move them to in-review when done.

Native account-pool and provider plugin for DeepSeek Harness on macOS: official browser OAuth plus provider-native transports for those plus WorkBuddy and Command Code, with live model catalogs, Antigravity browser OAuth needs your own DOCKYARD_ANTIGRAVITY_CLIENT_ID and DOCKYARD_ANTIGRAVITY_CLIENT_SECRET, plan and quota windows, and manual, sticky-session, round-robin or failover account selection.

Adds a model route where a Lead plans and reviews while a Sidekick performs code changes.

Translate DSH reasoning, tasks, answers and review reasons into 9 languages. Ollama, custom OpenAI/Anthropic APIs or Google/Bing; ordered fallback, local model memory controls, originals preserved.

AI image and video generation for the DSH Web GUI: text-to-image and image-to-image over per-channel model catalogs with per-family request shaping (gpt-image, Grok Imagine, Nano Banana, Seedream, GLM-Image, Qwen-Image, MiniMax image-01, DALL-E 3), a sidebar generation studio, an infinite canvas with node workflows, files preview and canvas skills, and a prompt template library; the video side adds text-to-video, image-to-video, first/last-keyframe and multi-reference modes on an async submit/poll/download pipeline, host-side video tools, video nodes on the canvas, and clip stitching of two or more video nodes into one MP4 with the local ffmpeg.

Applies OpenQuantum branding, browser metadata, and PWA assets to the native DeepSeek Harness web UI.

Word alternatives and underscore-gated fill-ins in the composer. End a line with _ and it is filled; misspellings are flagged as you type. Routes through the model dsh is already configured with, so it needs no API key.

Blender 3D production plugin with 30 modeling/reconstruction skills, 13 runtime tools, and 26 deterministic helpers for reference fitting, rendering, validation, animation, and portable export; installable as `dsh-blender`.

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.

Connects Qoder (China and Global) subscriptions to DSH through personal access tokens, keeping each variant on its own credentials and catalog, with saved-token switching, sidebar quota cards, per-model toggles, a context-window preference and a daily check-in.

Per-model reasoning-effort and input-modality configuration for third-party providers: suggestions fused from a model knowledge base and raw /models endpoint evidence with confidence labels, edited inside the official Models page card.

Keeps a local TinyTitan model server reachable from the harness: refreshes the llm-pi-ai route from the installed models and mounts a compaction backend that does not think.

Connect DSH to a MultiVibe gateway and inspect available models and connection status.

One DSH plugin that aggregates the models of WorkBuddy (personal multi-account, enterprise and the WorkBuddy AI international edition), Qoder CN and Trae CN into a single model picker with a shared conversation history, live credit multipliers, per-model reasoning effort, the largest context window the international edition declares, and daily check-in where the channel offers one.

QA pipeline as 10 agent skills: requirement analysis, test strategy, case writing and review, E2E (Playwright) and API automation, exploratory, regression scope and bug analysis, backed by a shared knowledge base with format rules, risk model and schema validators.

Lark/Feishu bot channel for DeepSeek Harness: each chat drives its own agent, and tool approvals, model questions, and plan reviews return as cards answered by a button or a reply. Switch workspace and model from the chat (`/cd`, `/model`, `/new`), and run several bots that keep separate sessions and can hand turns to each other in one group.

Cleans the harness prompt-authority layer into a reviewable patch set, writes prompt-inject.md and lets each model use a different default prompt, reports which patches took effect and whether the running host loads app.asar or an unpacked tree, and swaps a sealed install to the patched tree once the desktop process is idle. Includes a status page and the dsh-purge CLI.

Registers a local OpenAI-compatible bridge as a native dsh model provider: reuses the models already signed in on the desktop app on this machine, manages the bridge and its local dashboard process, and adds five tools, a /workbuddy command and a nine-tab settings panel. Requires the desktop app to be installed and signed in on the same machine; the bridge binds 127.0.0.1 only.