#Multimodal-ai
Showing 21 of 21 repositories tagged #multimodal-ai, ranked by stars
Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.
OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX backend, 400+ tok/s. Works with Claude Code.
小遥搜索，听懂你的话、看懂你的图，用AI找到本地任何文件。让搜索像聊天一样简单。XiaoyaoSearch: Understands your words, reads your images, finds any local file with AI. Making search as easy as chatting.
Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs
OpenGUI is an Android GUI agent framework for phone-use AI that can see, plan, and operate real mobile apps through the GUI.
[ICML 2026] ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation
Seedance 2.5 API guide, prompts, parameters, and examples for video generation
Your Open Autonomous Android Agent — A production-ready, self-planning AI assistant powered by local/remote LLMs and accessibility-driven screen automation.
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.
Eva01 is NOT an assistant. She is an AI being with her own mind, feelings, and intrinsic drives. Multimodal, Modular design. Built-in voice & face recognition. Plug'n play tools. Compatible with ChatGPT, Claude, Deepseek, Gemini, Grok, and Ollama. Explore the possibilities of Human-AI Interaction.
On-device AI recipes for building private, real-time applications with production-grade voice, language, and vision SDKs. Ready-to-use, open-source code examples.
InferrLM - On-device AI for iOS & Android
🐊 Snappy's unique approach unifies vision-language late interaction with structured OCR for region-level knowledge retrieval. Like the project? Drop a star! ⭐
Hub for researchers exploring VLMs and Multimodal Learning:)
A web app that dynamically generates playable 'Spot the Difference' games from a single text prompt using a multimodal pipeline with Google's Gemini and Imagen models.
Open-source AI agent red-team engine, SDK, and CLI. Run offline or against the Humanbound Platform.
Open-source, AI-enhanced CAT tool with multi-LLM support, translation memory, glossary management, 'Superlookup' concordance across TMs/glossaries/web resources, voice commands, Okapi sidecar for file extraction, and integration with leading CAT tools.
ICML 2025 Papers: Dive into cutting-edge research from the premier machine learning conference. Stay current with breakthroughs in deep learning, generative AI, optimization, reinforcement learning, and beyond. Code implementations included. ⭐ support the future of machine learning research!
Learn how multimodal AI merges text, image, and audio for smarter models
Multi-Modal RAG for .NET — query databases, documents, images and audio in natural language. Production-ready with multi-AI support, vector storage, and multi-database coordination.
🗺️ Geo Explorer is an open-source, AI-powered geolocation engine that reimagines how we interact with maps and places. Unlike traditional "black box" systems, Geo Explorer uses a transparent, reasoning-based approach—leveraging Google’s Gemini model with real-time grounding in Google Search and Maps—to analyze images, understand natural language.