— · Apache-2.0
An MCP Multimodal AI Agent with eyes and ears!
v1.2.0 · MIT
Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis
v0.1.0-rc.6 · 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.
— · MIT
Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server
v0.0.1 · Apache-2.0
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra
v0.3.4 · AGPL-3.0
TongFlow — Multimodal GenAI Studio
v1.3.2 · MIT
Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis
— · 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.
v3.0.1 · MIT
Agent-first, provider-neutral multimodal OCR CLI for images, PDFs, URLs, JSON schemas, and agentic extraction with Gemini, Kimi, Muse, and OpenRouter.
v3.24.2 · 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)。
v1.7.7 · 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.
v0.1.2 · MIT
Near-native image understanding for DeepSeek Harness
v0.2.0-alpha.4 · MIT
Self-contained DeepSeek Harness (DSH) plugin for Provider/Auth login, model switching, image fallback, token/cost analytics, and same-port Web restart. Useful? A star helps.
v0.1.7 · MIT
Generate images directly in DeepSeek Harness chats
v3.1.1 · MIT
DSH plugin: pixel-to-text image reading for text-only models. image_scan/image_ocr/image_sample tools + image-reading skill (34-image trained methodology). Pure local, optional PaddleOCR.
v0.4.1 · MIT
DeepSeek brain + automatic image transcription for DeepSeek Harness: a deepseek-vision provider route that transcribes attached images to text before delegating to the text-only DeepSeek adapter. Official deepseek-v4-flash-vision-exp by default (a pure-te
v3.24.2 · MIT
Plug-in vision for text-only LLMs, powered by the free Antigravity CLI
v0.6.4 · MIT
DeepSeek Harness 外置视觉模型插件:inspect_image 把本地图片或 http(s) 图片 URL 发给任意 OpenAI 兼容端点,视觉模型看图的文字回答直接带回对话;附 Web UI 设置栏。
v0.8.1 · MIT
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
v0.3.1 · 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)
— · MIT
Local NotebookLM for Claude Code via Google Antigravity (agy / Gemini 3.x): /agy:notebook turns a folder of documents into per-doc summaries + a relevance index + a cited synthesis + Q&A. Plus audio/video transcription, deep web research with citations & branded HTML reports. 13 commands, no Node runtime.
v0.2.7 · MIT
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
— · MIT
为纯文本模型"看图“设计更好的视觉工具箱和技能,支持多图理解,图片问答,前端UI还原、GUI 自动化等,并可选无缝接入多个主流agent,直接识别粘贴图片| A vision toolkit and skill designed for text-only llms — image Q&A, long-screenshot OCR, frontend UI restoration, and GUI automation, with optional seamless integration for Codex, Claude Code, Pi, Oh My Pi, and OpenCode
— · MIT
给 DeepSeek 补上「眼睛和耳朵」的多模态视觉插件:看图 / OCR / 物体检测 / 视频理解 / 语音转写 / 截图直读,一键安装(DSH 插件)。