AI image AND video generation plugin for the dsh web GUI, forked from @dickpy/dsh-imagegen. Images: 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. Video (added by this fork): text-to-video, image-to-video, first/last-keyframe and multi-reference modes with per-channel video model catalogs, an async submit/poll/download pipeline, a clip history merged into the sidebar, favorited clips in the asset library, host-side Agent video tools, video nodes on the infinite canvas with the same controls as image nodes, and clip stitching of two or more canvas video nodes into one MP4 with the local ffmpeg in canvas reading order.
Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models page card.
Memory and knowledge · Vision tools · Productivity
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:HaoyueQin/dsh-better-reasoning-effort
DirectorX:第一个以 DeepSeek Harness 为内核的 Video Agent Harness——面向端到端 AI 视频生产的开源 dsh-plugin,覆盖视频生成、分镜画布、智能剪辑、FFmpeg 质检与交付。The first DeepSeek Harness-native video agent harness for AI video production.
A desktop companion for DeepSeek Harness: its own persona, lorebook and multimodal API, a user profile distilled from the harness's own chat history, awareness of the running task, proactive chatter, reminders, voice, 8-24 frame sprite animations, screen reading and computer control behind a three-level permission, and a click-to-talk desktop window (WinForms sprite or Edge app window) next to the in-app floating pet.
Drop any file onto the DeepSeek Harness chat: non-image files are saved into the session workspace's .dsh-uploads/ folder and referenced from the composer as @.dsh-uploads/<name>, so the agent reads them with its file tools. Images keep going to the core's own attachment rail.
Extra media APIs for DeepSeek Harness: image generation, video generation, text-to-speech and transcription behind one settings panel, with adapters for OpenAI-compatible endpoints, Google Gemini/Veo, Replicate, fal, ElevenLabs, Fish Audio, MiniMax and any custom HTTP endpoint.
Skin Studio for DeepSeek Harness: a model-facing skin_studio tool that lets the agent design and one-click install launcher or frontend skins on user request — with a guided flow (ask requirements first; request an image from the user when the model cannot generate one, or call an image-generation tool when it can), local image inlining as data URIs, and instant apply through the DSH Launcher API.
图片理解桥接(dsh-vision-bridge 的中文界面分支):聊天里的图片交给你选定的视觉模型描述,非视觉模型也能"看图"。Fork of @goodandready/dsh-vision-bridge 0.4.5 (MIT) with a Chinese UI; the wire, routes and config file are unchanged.
Aggregate cordis bundle for the dsh-ros2 plugin family — depends on core/profile/moveit/safety/vision/common; empty apply for backward compatibility (install this to get all 83 tools + 9 skills).
Skills · Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:StvLi/dsh-ros2#1c9ea44df6ee8602a3f075d81ab28e66a1740991&path:packages/dsh-ros2
DeepSeek Harness QoL plugin for the local Qwen3.8 line (27B, Flash-Next): per-request thinking budgets on llama.cpp, NInfer, TabbyAPI, and oMLX dialects, vision + tools, and a compaction backend whose summaries stop burning the output cap on thinking.
Vision tools
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yunado/dsh-qwen38-local-qol
A second brain for your DeepSeek Harness agent — strong-model review before risky tool calls, plus 75 models from one credential: a BlockRun API key, or a wallet paying per call over x402.
Windows computer use for DeepSeek Harness: an MCP stdio server + PowerShell UIA backend, bridged into DSH via @deepseek-ai/dsh-mcp-client. Read/act on real Windows desktop apps (UI Automation tree, screenshots, typed input, OCR, window management).
Find the doc your agent just wrote. Lists the DSH workspace's Markdown, images and video in the sidebar, ranked by relevance to the current conversation, with inline preview — and hands the same ranking to the agent as a tool, returning the passage that matched in each document. Zero model calls, zero network.
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:CVEO/dsh-digital-earth
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