@piedpiper911/dsh-video-tools
Browser-local audio/video toolset for DSH: extract frames, capture thumbnails, compress images, and convert clips to GIF with FFmpeg.wasm.
67 results
Browser-local audio/video toolset for DSH: extract frames, capture thumbnails, compress images, and convert clips to GIF with FFmpeg.wasm.
Browser Use bridge for DeepSeek Harness: let your dsh agent run real web tasks (open pages, click, type, fill forms, extract data) through the Browser Use Cloud API.
DeepSeek Harness dual-ledger cross-session memory: auto-extracted long-term facts (MEMORY.md) plus a living project progress ledger (PROGRESS.md), recalled into every new session.
Photo skins for the dsh web GUI: import your own photos as UI skins (backdrop layer + auto accent extraction)
Bounded search, documentation, extraction, progressively disclosed site mapping/research planning, and read-only diagnostics for DeepSeek Harness
A DeepSeek Harness (DSH) plugin that reads PDF files of any size (no 64KB limit): full Unicode text extraction (Chinese/English) via pdfjs-dist, with automatic OCR for scanned or image-heavy pages (Windows WinRT OCR zh-Hans-CN + en-US, or optional tesseract.js).
Frosted-glass skin for the DeepSeek Harness web UI: pick any image as background, theme colors extracted from it, glassmorphism surfaces.
Model-facing describe_image + extract_text tools for the DeepSeek Harness web GUI: gives a text-only model reliable image understanding and OCR through an OpenAI-compatible vision endpoint, with critical-inspection prompts, auto-preprocessing, retries, and a persistent answer cache.
Memory Tree bridge for DeepSeek Harness — search/persist memory, manage the memory tree, and drive the local/cloud extraction backends. · 记忆树桥接:检索/落盘记忆、管理记忆树、本地/云端提取开关。
Notes and todos as plain Markdown in one Vault folder of your choice: /ml jots into today's journal, todos come in deadline/sleep-until/anytime flavors with auto-wakeup, /ml note distills chats into a knowledge base, /ml ask answers questions from it, /ml mail reads your work inbox incrementally into a throwaway temp dir and extracts todos/reads, /ml view fuzzy-opens any file — notes stay plain files.
pi-web-access for the DeepSeek Harness: multi-provider web search with automatic fallback (SearXNG → Tavily → Brave → keyless DuckDuckGo) plus URL content extraction, wired into the web seam so the built-in web_search tool is powered by piwa. Search engine toggle and API keys are configurable from the DSH settings page.
Small DeepSeek Harness memory plugin: the model writes markdown files under ~/.dsh/memory, the host injects them next session. No auto-extract, no vector DB.
Cross-tool session migration plugin for the DeepSeek Harness (dsh): high-fidelity ingest, continue, knowledge extraction, bidirectional export, privacy redaction.
DeepSeek Harness plugin: intercept a page's real data APIs (XHR/fetch JSON) and return structured fields — comments, rankings, prices, tables — with token-efficient field extraction. Requires playwright.
DeepSeek Harness tools for inspecting, extracting and previewing CAD files.
A DSH todo plugin: extracts key items from conversations (natural chat, notifications, announcements, emails) into dated todos, with todo_* agent tools, a /api/todo REST API, and a sidebar To Do List entry. DSH 待办事项插件:从自然对话、通知、公告、邮件等对话内容中提取关键事项,转为带截止日期的待办,提供 todo_* 模型工具、/api/todo REST 接口与侧栏「待办事项」入口。
Task boundaries for DeepSeek Harness Web: use Focus for execution scope and Persistent Anchors for explicit constraints without rewriting prompts.
DeepSeek Harness (dsh) plugin — read_pdf tool for PDF text extraction. Read and extract text from PDF files with AI agents / LLM tools, built on PDF.js (unpdf).
DSH 文件适配插件(面向 DSH 0.1.2-alpha.1):拖拽/粘贴/点击上传/@ 文件引用加入本地文件,以「文件:<路径>」引用随消息发出;主模型按需调用 dshomnifile 工具解析——文本多编码直读、Office/PDF 等文档由 anydoc 提文本、文档内嵌图片与扫描/图文混排 PDF 页由进程内 pdfjs 渲染 + 配置的多模态模型识别(内容哈希缓存 + 并发排队)并组装为 Markdown;聊天内文件卡片可预览图片、本地打开源文件;识别走官方 ctx.llm.stream。
K12 capability substrate for DeepSeek Harness: 143 objectively-decidable capability anchors and 6,091 list items extracted from China's MOE 2022 curriculum standards, with local-only learner profiles
结构化数据提取:从非结构化文本中提取指定字段并输出JSON/CSV/表格
Installable bundle contributing the DaoZang offline retrieval & original-text extraction skill to DeepSeek Harness (v2.0: launcher + self-check + workspace setup)
Cairn — long-term memory for the DeepSeek Harness: persistent cross-session memory (store, tools, auto-extraction, context injection) as one installable profile bundle
DeepSeek Harness plugin: force web search before the model answers (Search First) — query extraction, unified search engine, fetch, cache and runs persistence