dsh-mineru
dsh-mineru: MinerU 文档解析插件 for DeepSeek Harness — 多模态全格式 (PDF/Word/PPT/Excel/HTML/图片) → 结构化 Markdown. 填 Token 走精准解析 API, 留空走 Agent 轻量解析 API.
129 results
dsh-mineru: MinerU 文档解析插件 for DeepSeek Harness — 多模态全格式 (PDF/Word/PPT/Excel/HTML/图片) → 结构化 Markdown. 填 Token 走精准解析 API, 留空走 Agent 轻量解析 API.
Provider-independent DSH document parsing powered by MinerU, with native background jobs, immutable results, and safe request coalescing.
Loss-aware, full-coverage image tiling for DeepSeek Harness vision models
Matter-aware legal workspace dashboard and document agent tools for DeepSeek Harness
DeepSeek Harness native plugin: vision capabilities for text-only LLMs (describe, OCR, VQA, layout analysis, clipboard)
DeepSeek Harness plugin that turns UI screenshots into implementation-grade web specs using OCR, deterministic geometry, scene graphs, assets, and render comparison.
图片识别插件:自动判断当前模型是否具备视觉能力,有则用当前模型并按插件预设提示词分析,无则调用插件配置的视觉模型。文本模型可直接在对话框粘贴/上传/拖拽图片,发送时自动写入 DSH 附件存储(永久),消息区渲染缩略图,模型自动调用 image_vision / ocr / ground / crop 系列工具识别与精读;模型选择器保持简洁。
DSH PaddleOCR (百度 PaddleOCR-VL 文档布局解析) plugin: OCR tools plus a settings card and task panel
DeepSeek Harness bundle for a Windows desktop UI context picker and MCP server for Codex, DeepSeek Harness, and AI agents
Windows Computer Use for DeepSeek Harness: window-bound screenshots, robust OCR, verified clicks, pure-OCR mode, pluggable vision models.
Host-level vision bridge for text-only models: analyze_image tool (Ollama local / Xiaomi MiMo cloud / any OpenAI-compatible endpoint) returning structured evidence.
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Antigravity IDE quota (default, flash/pro), OpenAI-compatible VLM endpoints, Gemini API, or local Ollama — model-invokable vision tool, wrapper adapters for deepseek/opencode-go, evidence memory, and a polished client panel.
基于 DeepSeek-OCR1 光学压缩记忆系统:把记忆渲染为图像存储,支持 SoM 分段、年龄衰减/模糊化、激活召回、DSH Agent 检索
dsh plugin: recognize attached images locally with Tesseract OCR and send only the recognized text to the model. Text models never receive image bytes; vision passthrough is opt-in.
DSH teacher plugin: Socratic tutor that leads you to answers from a markdown question set, tracks knowledge gaps in-session, and retests them on a spaced-repetition schedule.
Local-first file conversion for DeepSeek Harness - images, PDF, data, audio/video and office documents. No API keys, no uploads, no token cost.
DeepSee: DeepSeek Harness vision, multi-model routing, and Gemini visual self-checks before delivery
Socratic clarify-first deep research plugin for DeepSeek Harness: adaptive multi-round research with evidence-closed cited reports, cross-verification, and citation auditing.
Vision-only desktop automation plugin for DeepSeek Harness (fusion refactor)
DeepSeek Harness plugin: content-aware PDF reading tools for vision models (pdf_scan / pdf_read_page / pdf_render_region). Detects figures (vector+raster), tables, math, and two-column layout per page, then routes text pages to extraction and figure/table/math pages to high-DPI region crops rendered for read_image — avoiding DeepSeek's ~800x800 whole-page token ceiling. Backed by PyMuPDF; returns a clear warning (with the exact install command) when Python or a dependency is missing.
KiroCrew bridge for DeepSeek Harness: let your dsh agent delegate to a persistent, self-evolving KiroCrew workspace over ACP (JSON-RPC 2.0 over stdio).
Give DeepSeek Harness agents the ability to read images directly: a model-facing read_image tool that answers questions about an image through any OpenAI-compatible vision endpoint.
Local-first vision for text-only DeepSeek Harness agents: route image understanding to a local OpenAI-compatible vision model, return structured JSON evidence (summary / OCR / layout / semantics / visual / uncertainty).
Image understanding, OCR, and persistent visual evidence for text-only DeepSeek Harness models