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Eyes for text-only DeepSeek Harness agents: built-in free vision chain (no key) + pixel-level vision tools (Q&A, grounding, crop, pixel diff, colors, OCR, SVG trace, cutout, screenshots). One-command install, no Python, image turns work like ordinary tool-calling turns.
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DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, OCR, grounding, UI restoration, pixel diff, Artifacts, and Web UI.
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Accessibility-first macOS Computer Use capability for DeepSeek Harness with stale-observation protection, app leases, confirmations, screenshots, and Web diagnostics
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Share DSH Q&As or selected conversation groups as PNG or Markdown.
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为 DeepSeek Harness 提供外挂识图模型:网页配置面板、发送图片识图自动回传、模型自主截图识图工具,支持多协议与一键安装/卸载。
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Better Browser for DeepSeek Harness: drive the user's real browser through Kimi WebBridge with navigation, snapshots, interaction, screenshots, network inspection, and tab management
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On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
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Playwright-powered browser capability for DeepSeek Harness: accessibility-snapshot interaction with stable element refs, session-scoped browser sessions, screenshots as attachments.
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dsh-plugin-appshot — a DeepSeek Harness plugin for macOS and Windows context screenshot capture.
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Standalone screen capture for DeepSeek Harness (dsh): browser hotkeys plus an agent-facing capture+read tool. Forked out of @liustack/modlens#48 (upstream declined the feature).
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Desktop computer use for DeepSeek Harness (DSH): macOS app listing, accessibility-tree window capture, screenshots, and synthesized input — the seam, the local Swift-daemon provider, the computer_use_* tools, the approval policy, and a standalone MCP server in one installable plugin package
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Kimi WebBridge host plugin for DeepSeek Harness: model tools that drive the user's REAL browser (navigate, snapshot, click, fill, evaluate, screenshot, network inspection, tab management) through the local kimi-webbridge daemon
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Windows Computer Use for DeepSeek Harness: window-bound screenshots, robust OCR, verified clicks, pure-OCR mode, pluggable vision models.
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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
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Vision + Android UI automation plugin for DeepSeek Harness: gpt-5.6-luna screenshot understanding and real-tap mobile app testing via adb
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macOS Vision OCR tool plugin for DeepSeek Harness: read text from screen capture, clipboard images, or image files (zh-Hans + en-US). Unofficial community project.
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Paper Design MCP bridge as a DeepSeek Harness bundle: paper_* tools, image screenshot support, design skills, OAuth auth, and Cursor-parity design guidance.
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通过 QQ 消息远程控制 DeepSeek Harness:命令执行(/exec)、任务派发(/ask)、阶段进度汇报、屏幕截图发送(/screenshot)、AI 聊天(/chat)与聊天特化会话(/chatbind)、会话标题化管理(/newsession /title /session)。OneBot 11(NapCat/Lagrange/go-cqhttp),零 npm 依赖。
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Local vision 'eyes' for DeepSeek Harness (DSH): screen tool (capture screen or image -> local OpenAI-compatible VLM description) and ocr tool (Windows built-in OCR, zero model / GPU / cloud).
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Codex-style computer use for DeepSeek Harness (DSH): read the screen and drive the mouse & keyboard. Pairs with picturereader (image_scan/image_ocr) to close the look-act-verify loop. Windows.
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SSiD (思灵) quick screenshot capture: tray/hotkey → fullscreen box-select overlay → cropped image into the current conversation composer
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DSH standard vision skill: Qwen dynamic-resolution preprocessing + OpenAI-compatible VLM chain with failover/429 backoff, structured evidence mode, local tesseract-first long-screenshot OCR, paste-to-path (no framework patch). 8 tools + runtime skill.
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Vision-only desktop automation plugin for DeepSeek Harness (fusion refactor)
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DeepSeek Harness plugin that turns UI screenshots into implementation-grade web specs using OCR, deterministic geometry, scene graphs, assets, and render comparison.