dsh-think-any-lang
DeepSeek Harness plugin: a General-settings selector that chooses which language the model reasons in, via a system-prompt section.
92 results
DeepSeek Harness plugin: a General-settings selector that chooses which language the model reasons in, via a system-prompt section.
Quality-aware plugin discovery inside DeepSeek Harness: ask your agent in natural language, get ranked dsh-plugin recommendations with install commands, quality scores and risk flags. 质量感知的 DSH 插件发现:一句话问你的 agent,得到带质量分、风险提示与安装命令的插件推荐。
自然语言查询 + 商业智能报表插件 for DeepSeek Harness:在 dsh-mysql 连接底座之上,提供 Text2SQL 自然语言查库、15+ 图表类型、Dashboard 仪表盘、指标/维度管理、多维分析、自助分析、报表导出、审计日志与数据权限。Natural-language data queries + enterprise BI reports for DeepSeek Harness: Text2SQL, 15+ chart types, dashboards, metric management, multi-dimensional analysis, self-service analysis, export, audit log and data permissions.
Image understanding, OCR, and persistent visual evidence for text-only DeepSeek Harness models
Cross-session memory cue bank for DeepSeek Harness: builds a persistent event-cue library (keywords, user language idiosyncrasies) and re-activates remembered event details on topic switches, mirroring human episodic recall.
Switch the current DSH session's model with a natural-language sentence, on web, TUI, or IM bridges (WeChat, Feishu, etc.).
Persistent vision plugin for DeepSeek Harness: registers the vision_analyze tool backed by a configurable multimodal model, with a settings-page UI. Zero dependencies.
Mochi — natural-language-driven CAE bundle for DeepSeek Harness (CAD → mesh → solve → post-process; CFD via OpenFOAM)
IDE engineering services for DeepSeek Harness: LSP diagnostics/navigation/rename, DAP debugging (debugpy + js-debug), and task-toolchain build/test/lint runs.
A tiny octopus desktop pet that explains AI-jargon in plain language for the DeepSeek Harness web GUI.
VS Code (from a code-server release) inside DSH: a right-sidebar tab driven by the plugin's own launcher over the in-process VS Code server (lib/launcher.mjs). Since 0.3.0 the bundle also ships an editor bridge (assets/extensions/dshcs-editor-bridge): a read-only channel between the in-tree VS Code extension host and DSH, giving the agent what only the editor knows (unsaved buffers, language-server diagnostics, the active selection) and letting editor gestures drive the session. Since 0.3.22 the ask panel renders that session's new content with DSH's own Markdown renderer (pinned to the deployed DSH UI version); since 0.3.23 it is a full-width dialog with collapsible thinking rows and can answer approval requests in place — the bridge's only non-read-only route (POST /approve, constrained to pending in-process requests and the outcomes allowed-once/rejected; panel-first for 5 minutes, handed back to the official card the moment the panel closes). The tab claims DSH file addresses (dsh-resource://file/**) by file type (setting claimExtensions), so the product's own produced-file chips, delivered-file previews and inline prose mentions open in the workbench. The IDE is a resident surface moved with Element.moveBefore instead of being remounted, so switching sidebar tabs no longer reloads it. Opening the tab switches the right sidebar to fullscreen by default (setting fullscreenOnOpen). Following a workspace switch is lightweight: the workbench re-navigates with the new ?folder= and the IDE process is not restarted (since 0.2.12). Requires a DSH with the right-sidebar services (sidebarRightTabs/sidebarRight, >= 0.1.5-alpha.1); older DSH versions get a single upgrade notice on the settings page and no other UI. Two serving modes: loopback port (default) or same-origin mount on DSH's own webServer (/code-server, protected by ctx.connection.requestRejection). No code-server Node layer, no argon2, no C++ toolchain.
墨韵 (Moyun) · 中国水墨画风格主题插件 for DeepSeek Harness:5 套原创水墨主题、自定义壁纸 + 模糊控制、粒子飘落效果、8 种语言国际化,把 DSH 变成一幅流动的水墨画卷。原生 token 系统,零侵入,装一次用很久。
Russian language pack for the DeepSeek Harness web UI (community)
DSH Web client plugin: chat content width tiers (standard / medium / wide / ultra / full) with a floating picker button. Frees wide tables from the app's hard-coded 748px content cap. UI copy follows the app language (zh / en).
Voice practice mode for the DSH web app: bilingual (中文 / English) conversation output plus read-aloud (TTS) and speech input (STT). Adds a 语音交流 dialog-mode toggle to the composer.
Inline image preview for DeepSeek Harness: display local image files (PNG/JPG/WebP/GIF/AVIF/BMP/SVG/ICO/TGA) directly inside the chat — fence language `img` + `img_serve` tool. Double-click opens a standalone viewer with free zoom/pan.
Requirement-driven dsh plugin discovery and environment recipes ('点菜, not 逛超市' / 插件界的 dotfiles): plugin_guide matches natural-language needs to a curated directory with a scored match breakdown and category/tag filters plus per-category diversity; recipe installs whole environments from bundled community bundles with ordered plans
Vision-first MCP for text-only Agents, using Agnes AI for image understanding with experimental generation and editing.
DeepSeek Harness 模型额度与 Token 统计面板:只显示 DeepSeek 账户余额,并按日汇总所有 Provider 与模型的 Token 用量。
DSH 界面两档模式(简化/原生):工具卡片白话化,降低新手门槛 / Two-level UI mode (simple/native) with plain-language tool cards for DeepSeek Harness
HTTP control-plane plugin for DeepSeek Harness — exposes dsh internals (language, workspace registry, agent-status/approval events) over /dsh-api on the local loopback socket dsh already listens on.
Recurring/scheduled tasks (轮询任务/定时任务) plugin for DeepSeek Harness: cron-driven polling jobs as real sessions, natural-language creation, model tools (polling_create/list/edit/delete/trigger) and a web UI. Install-and-go via `dsh plugin add`.
deepseek-eyes:给 DeepSeek Harness 的纯文本模型装上眼睛——把粘贴的图片经 OpenAI 兼容视觉 API 转成文字描述,再转发给真实的文本模型(Give text-only models in DeepSeek Harness eyes: describe pasted images via an OpenAI-compatible vision API, then forward to the real provider. Not affiliated with DeepSeek.)
Eight DeepSeek Harness plugins: persona, language guard, vision fallback, python workdir guard, windows encoding guard, cross-agent memory, image generation, and skill shell injection.