@anionex/dsh-vision-toolkit
DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, OCR, grounding, UI restoration, pixel diff, Artifacts, and Web UI.
46 results
DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, OCR, grounding, UI restoration, pixel diff, Artifacts, and Web UI.
Flagship multimodal vision hub for DeepSeek Harness: ~40 tools, PDF drag-and-drop, LaTeX formulas, complex tables, QR codes, UI flow diagrams, and multi-model consensus.
DeepSeek Harness plugin: configurable vision model with vision_read_image tool, composer-bar vision-model selector, and automatic image-to-text conversion for text-only main models.
Drop or paste images, PDFs, office docs, zips, videos and audio into the DSH composer as workspace file paths instead of model attachments — lets a text-only model agent read them via vision tools.
Generate and display images inline in the DSH chat via API channels or local CLIs (mmx / codex / agy), and read images into structured JSON evidence (OCR / layout / semantics) on any model — with backend probing and a bundled recovery skill.
MiniMax multimodal bridge for DeepSeek Harness (DSH). One mmx_bridge tool covers describe/image/video/speech/music/cover/search/quota; optional web_search/read_image takeover; built-in client enhancement renders inline players/previews plus a settings-page management card in the Web GUI.
蓝色大肥鱼 · DeepSeek 峰谷提醒:北京时间「梁文峰/梁文谷」实时播报、切换前提前提醒、省 token 小贴士、自由拖动(纯前端,兼容 blue-fantasy 皮肤风格)
DeepSeek Harness (dsh) web plugin — Codex-style attachment expansion: PDF text-layer (pymupdf4llm/pdfjs), Office (docx/xlsx/pptx) to Markdown, TIFF/epub/odt/rtf, long-document spill to index cards, scanned-PDF OCR (tesseract.js + 8 cloud providers inc. DeepSeek Vision), and browser image to PNG. dsh-plugin for the DeepSeek Harness Web GUI.
Automatic Web image-to-text bridge plus vision and OCR tools for DeepSeek Harness
DeepSeek Harness adapter that exposes each configured vision model as a selectable DeepSeek composite in Web UI.
DeepSeek Harness native plugin: vision capabilities for text-only LLMs (describe, OCR, VQA, layout analysis, clipboard)
DeepSeek vision bridge for the dsh web GUI: route image attachments to a vision model (pi-ai / llama.cpp Qwen3-VL) and continue the conversation with the text description on a text-only LLM (DeepSeek)
dsh 插件:给文本模型补一双眼睛 + 给多模态模型补一对观察 UI 渲染的眼睛 —— 设置弹窗选视觉模型 + meow_vision 工具 + meow_preview 组件截图工具
DSH Web manager for global AGENTS.md with Markdown preview, reusable templates, version history, import rollback, and revision-conflict protection.
DeepSeek Harness plugin that turns UI screenshots into implementation-grade web specs using OCR, deterministic geometry, scene graphs, assets, and render comparison.
AI 生图 (image generation) plugin for the dsh web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint, with multi-provider support, model discovery, and agent tool registration. 与 @xiaoyuink/dsh-image-vision 同系列的图像插件。
Persistent vision plugin for DeepSeek Harness: registers the vision_analyze tool backed by a configurable multimodal model, with a settings-page UI. Zero dependencies.
Vision + Android UI automation plugin for DeepSeek Harness: gpt-5.6-luna screenshot understanding and real-tap mobile app testing via adb
Browser automation toolset for dsh-tui agents: Playwright-driven browser control with deepseek-v4-flash-vision-exp visual understanding.
DSH 插件:可接入识图模型 API(本地大模型识图工具 + 设置界面)。配置 OpenAI 兼容的识图接口(LM Studio / vLLM / Ollama 等),接口留空即不启用识图模型。
DSH Computer Use (vision + desktop control, auto-detects Windows native or WSL): see the Windows screen through the agent vision channel, drive mouse/keyboard with a Codex-style blue overlay (Esc to abort), plus a composer status pill.
dsh auto-vision bridge: paste an image into a text-only model's composer and a configured multimodal model transcribes it as text, automatically.
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
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).