@ychris12138/dsh-usage-stats
Token usage, provider accounts, session cost estimates, budgets, and exports for the dsh web GUI
1793 results
Token usage, provider accounts, session cost estimates, budgets, and exports for the dsh web GUI
DSH undo/rollback system: snapshot config files on change, undo/redo the last action from the WebUI or by chat, and roll back broken plugin trees without reinstalling. Works even when DSH fails to boot (offline CLI + GUI).
DeepSeek Harness plugin: dispatch work to DSH agents from Claude Code / Codex, as native subagents with live progress
DeepSeek Harness plugin for Android — build, run, and interact with a live emulator or USB device stream inside a conversation, driven entirely through adb. Tested with DSH 0.1.5-rc.1.
Complete reverse-skill (87 skills) as a DeepSeek Harness Cordis plugin — reverse engineering, authorized pentesting and security research skill router pack.
Argo 阿尔戈 — 统一搜索与证据核验。推荐 npx -y github:taxueseek/argo 或 install.sh 安装(不依赖 npm 发版)。多语言路由、220 个源(185 个免密钥开箱可用)、影视/体育/金融等垂直源、垂直结构化模态卡、14 个 MCP 工具。
AI 编译纯文本小说工作台 for the dsh web GUI: import a novel outline (docx/text), plan volumes & chapters with LLM, generate chapter by chapter (3000-4000 chars each), auto AI review & book audit, and export the full book as Markdown/TXT into your chosen output fold
Noema long-term memory plugin for DSH: durable, inspectable agent memory with recall tools and a settings page.
End-to-end encrypted remote access to DeepSeek Harness and experimental Codex workspaces from desktop, web, and Android, with dsh-TUI Host support.
Turn-level conversation and workspace rewind for DeepSeek Harness, powered by a persistent Change Ledger
Give text-only DeepSeek Harness agents video understanding: scene-aware frame sampling + VLM + optional ASR transcript fused into timeline evidence. / 给纯文本模型的视频理解插件(场景感知抽帧 + VLM + 可选语音转录)
Self-contained DeepSeek Harness plugin for Provider login, model switching, image fallback, usage analytics, and same-port Web restart
Turn explicit DSH session experience into reviewable native Skills
Structured memory engine for DeepSeek Harness. Offline semantic search, entity-attribute-timeline, autoDream self-consolidation, and human-editable Markdown storage.
Design I/O for coding agents: controllable UI generation via declarations (spec/domain/craft/design/components/template) and contracts (skill/evaluator). Use for product UI—console, dashboard, agent-ops, CJK-first apps.
DSH Web selection-annotation plugin: select assistant text, annotate (optional), and press Enter to send the annotation block with your message — the model replies to each annotation by number, with hoverable chips in the reply.
Visual conversation map for DeepSeek Harness: an infinite whiteboard where every session is a card — drag to arrange, double-click to start a chat in place, draw an edge to fork a new session with injected context. Built for ADHD-friendly spatial memory. · DSH 可视化对话地图:会话即卡片,双击即聊,连线分叉带上下文的新对话。
A configurable branch-role guard for AI coding agents (DSH / Claude Code / Codex / OpenCode / Antigravity / Pi / CodeBuddy / ZCode / Cursor) — zero-config defaults (develop+main) out of the box, deep-merge override, per-client native hooks via gitflow-gua
Local literature knowledge-base RAG for DSH: hybrid BM25 + vector retrieval, cross-encoder reranking, cited answers with section- and page-level provenance, metadata-only refresh and background ingest with progress polling, over a SQLite index.
Interactive in-browser canvas for real-time preview of HTML, React components, SVGs, and diagrams with SSE hot-reload
AI image generation plugin for the dsh web GUI: text-to-image and image-to-image through configurable provider channels (gpt-image-2 / grok-imagine-image / nanobanana series / seedream-5.0-pro / dall-e-3, with native xAI Grok Imagine, Google Nano Banana and ByteDance Seedream request shaping), per-channel model catalogs, a three-column studio beside the native conversation, an infinite canvas with node-graph workflows (annotation boxes with attached prompt cards, local background removal, AI layer split, per-node model choice, file nodes with any-file upload, and a canvas skill system covering skill-driven next steps on every node: text polish, image description, content extraction, and long-running headless-agent pipelines such as image-to-editable-ppt, with a local skill library that installs and removes skills from URLs or uploaded archives), an ecommerce product-set mode and a prompt template library.
Deployment-configured prompt prefix for DeepSeek Harness: ordered system-prompt sections ahead of the persona and reference user/assistant exchanges injected into every ordinary conversation request as real alternating messages (request-path interception, zero session-log writes).
Multi-agent mathematical problem-solving & verification frameworks for DeepSeek Harness — THREE agent presets in one install: vibe-math-v2 (probability-driven: qs.json + Propos knowledge base + explorer→solver→review/debate verdict), vibe-math-v3 (THIRD-g
AI 招聘副驾 —— DeepSeek Harness profile bundle:注册招聘工作流 skills(岗位梳理、双通道寻源初筛、约面试、简历评估、台账与日报),并在 Web UI 右侧提供一只 boss/liepin 浏览器观察面板(默认折叠只读,日常动作走 CLI)。