Curated collection of AI agents built with Google’s Agent Development Kit (ADK): templates, best practices, and production-ready examples for research, business, automation, education, and more.
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Updated
Nov 10, 2025 - Python
Curated collection of AI agents built with Google’s Agent Development Kit (ADK): templates, best practices, and production-ready examples for research, business, automation, education, and more.
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A curated list of awesome resources, tools, libraries, tutorials, and references for Google Application Development Kit (ADK).
Demo of ADK (Agent Development Kit) as an MCP (Model Context Protocol) client for flight search capabilities.
A Retrieval-Augmented Generation (RAG) system that leverages Google's Agent Development Kit (ADK) and Qdrant vector database via MCP server.
AI research assistant using Gemini + Google ADK to auto-plan and execute research across ArXiv and the web.
A comprehensive collection of Google ADK implementations: Function Tools, MCP, Vertex AI Agent Engine, RAG Engine, and Agent Starter Pack templates for Cloud Run and GKE.
A Python package providing additional service implementations for the Google ADK framework (S3, Redis, MongoDB, Azure, etc)
Repositório que ajuda na precificação de serviços, utilizando agentes inteligentes de IA generativa.
Frame.AI is a collaborative AI agent system built with Google's ADK to perform intelligent, modular video segmentation.
AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.
Demonstrate Agentic use of Model Context Protocol (MCP) server tools with several Agent Frameworks
Google ADKを使ったブログ生成エージェントのサンプル
Slack Bot using Google Agent Development Kit (Python, Cloud Run)
An open-source Google ADK AI agent that brings the power of Any LLM Model directly into your terminal.
A flexible foundation AI system for creating A2A-compatible autonomous AI agents that can collaborate, reason, and execute complex tasks through standardized agent-to-agent communication protocols.
An agentic solution designed to create a llms.txt file for any given repo or folder.
A deep research agent implementation using Google's Agent-to-Agent (A2A) framework with Model Context Protocol (MCP) tools
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