CLI tool. Simply turns your current git changes into conventional git add/commit commands using Gemini.

This project enables real-time streaming of audio (and optionally video or screen captures) from your local device to Google Gemini using the Live API. It allows you to interact with Gemini through both text and voice, supporting conversational AI responses.

Google Gemini live voice to text realtime stream in the browser

1st Prize for Creativity at Agents & MCP Hackathon 2025. Transform raw footage into viral-ready content in seconds. No skills required. No expensive gear needed. Just your vision and our AI.

The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client with adaptive tool learning and MCP server.

Vertex AI chatbot with MCP integration

Python SDK and MCP server for generating and extending videos with Google Veo

Vibe check your posts! An AI tool that simulates realistic comments (from Trolls to Fans) on your photos using Google Gemini 2.5.

YouTube Video Transcript Summarizer with Gemini API

Unofficial Haskell client for Google GenAI API, including Gemini

MCP (Model Control Protocol) server integrating with Google's Gemini API

Exploration and practice of Langgraph

✅ completed | 👾Telegram Bot(✈️) integrated with Google Gemini full admin panel simple commands 😮‍💨 and hard structure💪🏼

Parrot is a new library to work with chatbots and agents with a very simple API

Python wrapper that simplifies the Google Gemini API

Gitlab MCP server for agents

Esse repositório será utilizado durante o minicurso "Introdução à criação de agentes de IA com bancos de vetores" na SEINFO 2025, que acontecerá entre os dias 13 e 17 de outubro no IFCE Campus Crato.

Weather Agent using Google Gemini

Lightweight Retrieval‑Augmented Generation (RAG) demo with Streamlit UI. Ingest PDF/TXT docs, chunk & embed with Google GenAI or other providers, store in Pinecone, and query via chat. Optional MongoDB logging. Simple backend + front‑end for fast document search, retrieval, and generative answers.

Ai terminal assistant for easier development