Plugins

Registers a wrapper provider that gives delegated subagents their own LLM route — one-off spawns through provider.start, Agent Teams members through a hook on startActivation — while the main agent keeps its model. Ships a Settings section for picking that route, a per-expert override file, a capability flag reporting which seams the hook caught, and a readiness record written at mount.

Registers the models bundled with the Xunfei Loomy desktop app as a `loomy` provider in DSH, reading the app's local sign-in session instead of an API key. Fork of gdrpzym/dsh-loomy-connect adapted to DSH 0.2.1, adding a per-model enable/disable switch. Requires the Loomy desktop app installed and signed in; it cannot be installed alongside gdrpzym/dsh-loomy-connect because both register the same `loomy` provider.

Live CNY cost of the current session under the composer, priced per assistant message by the model that produced it and the peak or off-peak window of its own timestamp, with a Settings page that edits the six prices of every model and marks a model with no rate card with a leading tilde because it is costed from the Flash rates.

Personas, memory and opt-in proactive chat that resumes after restart for DeepSeek Harness Desktop. 社区预发布插件：白饭鱼女儿、角色记忆与重启恢复主动聊天。

DSH 插件：agent 提问时自动把 DSH App 顶到前台，失败则发通知兜底。Focused foreground + notification fallback for DeepSeek Harness.

DSH 插件：按配置调用后端 HTTP 接口、启停/重启本地开发服务、增量读取日志并等待日志特征，让模型能"改完自己验"。

DSH plugin: group sidebar sessions by project (a label, not a directory), give each project a work document whose format follows a spec, register its related links, and show the exact runtime-context injection on the settings card.

Sidebar panel for Agnes image and video generation that also ships a node canvas and a short-drama mode. Canvas nodes are chained by extracting the previous shot's tail frame with ffmpeg and submitting it as the next shot's first frame; short-drama mode turns an imported script into storyboard shots. Generation and polling run in the Host process, so tasks survive a page reload or a closed panel, and results plus an 80-entry history are stored on disk.

Publishes the running DSH host as a Model Context Protocol endpoint, so other harnesses such as Claude Code, Cursor, Codex or another DSH can start and continue sessions, read transcripts, wait on or cancel turns, and answer pending approvals; every call is attributed to its caller, and owner-scoped sessions keep callers apart.

Explicit, project-scoped memory handoff: when you open a new conversation, one model call that you confirm curates the project's earlier conversations into a bounded brief and injects it into the conversation's first step. No silent background calls; a Memory panel shows the brief and lets you edit notes.

Local-first long-term memory for DeepSeek Harness: text packages, on-demand recall, raw event citation, multiple brains and workspace boundaries.

Saves a whole DSH session as one .dsproj project file and opens it back. The session header gains an open button, a save button, a save-as button and an autosave switch, and the blank-session page gains its own open button. The first save asks where to put the file and later saves overwrite it; opening a .dsproj re-imports the session, switches to it, and can write the bundled workspace memory back on request.

Configures forward proxies per enabled provider in Settings (HTTP/HTTPS/SOCKS5), keeping unconfigured providers and other traffic direct.

DeepSeek Harness (`dsh`) 可视化本地游戏汉化插件 — 支持 Unity、RPG Maker、Ren'Py、Godot、WOLF、TyranoScript 六大引擎，提供原生玻璃窗口、双栏对照审校、多模型子 Agent 派发与 100% 读回安全写回。Visual game localization plugin for DeepSeek Harness.

Samples a video the way a person does instead of downloading it: metadata and chapters first, then timestamped frames as images, subtitle-first transcripts (local ASR only when the platform carries no subtitles), AudioSet 527-class sound tags and top comments — 21 tools sharing one on-disk cache behind a cross-process lock. Needs Python 3.10+, ffmpeg and the vidlens package (pip install vidlens-mcp); a missing install comes back with the two ways to fix it instead of a bare ImportError.

Black-box GUI testing for DeepSeek Harness: an AI tester drives a real Windows virtual machine using only screenshots and mouse/keyboard, so its verdicts rest on pixels instead of logs or source code. Ships the dsh-vm-tester plugin with twelve vm_* tools (status, UI tree, screenshot, click, type, type-secret, key, basic key, wait, snapshot, upload, download), a reverse-tunnel guest agent for Windows, and run verification scripts. Needs Windows, VirtualBox 7 and a Windows guest VM with the bundled agent before any vm tool works.

Browses Bilibili on your behalf and actually takes part: search videos, like, coin, send danmaku, post comments, reply to other people, and keep replying when someone answers back. Reads the video's Bilibili AI subtitle (or transcribes the audio locally when there is none) so its comments talk about what the video really says, and it reads that same content before choosing whom to reply to. Instead of copying other people's sentences, it distills rules about how to sound like a person and gets less AI-ish the more it runs. Skips videos it already browsed, de-duplicates replies per thread, and after too many rounds with the same person in one comment section it reviews whether the exchange has any substance -- if it looks like two bots complimenting each other, it says one last line and stops replying to that person there. Checks whether each comment is genuinely public or only visible to your own account, can scan any time window (last hour / day / 3 days / all) and lists the ones others cannot see, warning you on the overview when replies got folded. Six-tab settings panel where every change takes effect immediately with no restart, a manual run that queues behind the background listener instead of being refused, and an environment self-check that tells you exactly what to install. Requires Python 3 for the Bilibili actions; the built-in check lists any missing packages.

Records DeepSeek Harness runtime errors and coding retrospectives as an interactive GPU graph, and feeds the recorded lessons back into the model's context.

Structural long-term memory for DSH: supersede, decay and entity-state tracking across 15 MCP tools, automatic recall and capture hooks, and a bounded pointer index published per request instead of filling the window. Requires Python 3.10+ with torch and sentence-transformers; the first run downloads a ~470 MB embedding model.

Adds a Delete session action to the sidebar context menu behind a confirmation modal reporting log size and live activity, cleanly unlinking log files, projection checkpoints, and host memory registrations.

Install it by asking DSH in one sentence, then it reads your local Codex CLI/Desktop chat history from ~/.codex/sessions and makes it usable inside DeepSeek Harness: a panel under the composer lists sessions with keyword and date filters and one-click import, the codex_history tool lets an agent list, read, search and summarize past conversations, a session whose working directory matches is injected automatically when a new agent starts, new Codex messages arrive as incremental updates in the running conversation, and a shared folder can mirror both Codex and DSH sessions across machines. Read-only — nothing is written back to Codex.

Project-level usage hub for DSH: per-project token, time and cost, with half-hour swimlanes, 26-week activity heatmaps and provider balance alerts; unpriceable usage is flagged rather than estimated.

Model picker control for the DSH composer: a settings section beside the built-in Models page renames model display names and provider group names, adds a short coloured suffix capsule after a name, groups models from different providers into a new partition, reorders provider groups by drag or keyboard, sorts models inside a group by catalog order or name, and hides a provider or a single model without removing it from the catalog. Edits stay in a draft until you press Save, and the built-in 1017 tag and a custom capsule can be shown side by side.

A transparent always-on-top desktop fish that mirrors the current DSH session - turn, step, tool calls, todos, background jobs and team tasks - with optional login autostart, an option to stay after DSH exits, and a right-click hide. Windows only.