v3.26.5 · MIT
The first vision plugin for DeepSeek Harness, and the vision bridge for every text-only coding agent. Paste an image, get structured JSON evidence (OCR, layout, semantics). | 全网最强 DeepSeek Harness 外挂视觉插件,为 DeepSeek、GLM 等纯文本模型外挂视觉能力,粘贴图片即得结构化 JSON 证据(OCR、版面、语义)。
v2.3.0 · MIT
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.
v0.1.46 · MIT
[dsh]为纯文本模型设计更强大的视觉工具箱:一行安装使用、粘贴图片直接识别、多张图片问答、截图到前端UI 还原等|DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, grounding, pixel diff, Artifacts, and Web UI.
v1.2.0 · MIT
把本机 Wallpaper Engine 的壁纸搬进 DSH 网页界面:场景壁纸由内置 MIT 开源引擎 WebWallGL 实时 WebGL 渲染(粒子 / puppet 骨骼 / SceneScript / 音频反应 / 鼠标交互),失败自动降级内嵌 MP4 与场景静态帧;Web 壁纸严格沙箱 + WE API;iOS 风格液态玻璃 UI 高度自定义,遮挡暂停省电、ffmpeg 帧率上限转码、系统音频频谱与 Now Playing、自定义上传与自动轮播;设置存宿主端,对 agent 零 token 开销。Windows / macOS / Linux 三平台原生(同一个包、同一条命令)。
v0.8.5 · Apache-2.0
AI image studio for DeepSeek Harness — generate, edit & compare images in chat, with 500+ prompts, gallery, multi-model workflows and ComfyUI.
v0.12.2 · MIT
Command Code provider plugin for DeepSeek Harness (dsh). Adds Command Code model access, live model catalog, plan-aware model selection, reasoning effort, image input, web search, and multi-account support.
v0.2.0-alpha.1 · Apache-2.0
Use openai-codex models and image generation via ChatGPT OAuth for DeepSeek Harness.
v0.1.0 · MIT
AI-assisted local creator workbench for DeepSeek Harness
v1.6.6 · Apache-2.0
DSH (DeepSeek Harness) Web GUI AI image generation plugin: text-to-image & image-to-image via OpenAI-compatible endpoints (gpt-image-2), with shared cross-device history.
v0.1.0 · Apache-2.0
The fastest way to put Volcengine Ark in your terminal and your AI agent — go from prompt to generated media, multimodal answer, or deployed endpoint in a single command, no API glue code.
v0.3.2 · MIT
Give text-only DeepSeek Harness agents video understanding: scene-aware frame sampling + VLM + optional ASR transcript fused into timeline evidence. / 给纯文本模型的视频理解插件(场景感知抽帧 + VLM + 可选语音转录)
v1.0.0 · MIT
Prompt as Code | GPT Image 2 / 2.5 提示词与案例库,530+ 个案例、20+ 套工业级模板与可复用 Skills,新增 2.5 同提示词对比专区,附完整提示词与生成记录,持续更新。
v3.0.2 · MIT
:rocket: The Ultimate Image Uploader for Efficient Creators. Supports Obsidian, Typora, VS Code etc. and 60+ image hosting services (S3, GitHub, Cloudflare R2, Imgur, Aliyun OSS...). Paste, upload, done.
v0.1.0-rc.11 · MIT
DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge that lends the text-only harness vision and image generation.
v0.11.21 · MIT
Image generation for DeepSeek Harness: a generate_image tool with pluggable providers — the FAL queue, any OpenAI-compatible images API, or a ChatGPT/Grok subscription with no API key at all. The picture is shown inline in the conversation; the model rece
v0.3.5 · AGPL-3.0
Modality-First GenAI Platform
v0.1.2 · MIT
🎬AI-Powered Director: MiniMax-H3 Video Generation Plugin Directed by DeepSeek-Harness. 🤖More than Prompting. 🪄Canvas UI.
v0.5.4 · MIT
一个基于DeepSeek-Harness的ComfyUI插件
v0.1.2 · MIT
Near-native image understanding for DeepSeek Harness
v6.8.0 · no license
AI 艺术创作引擎,专业的短视频,游戏3D资产,2D资产,广告创作工具
v0.5.2 · MIT
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
v0.1.0-beta.8 · MIT
Jacky Creator:面向内容创作者的 DeepSeek Harness 本地内容与运营工作台
v1.0.0 · MIT
Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.
v0.7.17 · MIT
Full-duplex voice plugin for DeepSeek Harness: local zipformer2 streaming ASR (no API key) → editable draft; Edge TTS or local VITS / Kokoro read-aloud with live captions; true barge-in; hardened HTTP surface + model SHA256 pinning; compatible with all ds