google-adk
There are 2 repositories under google-adk topic.
- Language:Python 32
- Language:Python 9
- Language:Python 3
/ awesome-adk-agents
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.
Language:Python 94/ awesome-google-adk
A curated list of awesome resources for Google's Agent Development Kit (ADK)
/ gofannon
A Repository of Functions Consumable by Other Agent Frameworks
Language:Python 54/ Fast-LLM-Agent-MCP
This repo covers LLM, Agents concepts both theoretically and practically: LLMs, RAG, Fine Tuning, Agents, Tools, MCP, AWS Strands Agents, Google Agent Development Kit, ADK, Reference Documents, etc.
Language:Python 32/ Cognisphere
Cognisphere ADK is an AI agent development framework built on Google's Agent Development Kit (ADK)
Language:Python 15/ how-to-build-ai-agent
How to build your own AI agent easily with Google ADK! In this beginner-friendly tutorial, I'll walk you through installing ADK, writing basic agent tools, creating your first AI agent, and running it!
Language:Python 10/ feather_wand_agent
Feather Wand Agent is a comprehensive AI-powered toolkit for performance testing and monitoring. It integrates multiple industry-standard performance testing tools (JMeter, k6, Gatling, and Locust) into a single, unified interface, allowing users to execute and analyze performance tests through natural language interactions.
Language:Python 10/ profile-hereandnowai
With active R&D efforts in multi-agent systems, reinforcement learning, and projects like the “Robo‑Professor,” HERE AND NOW AI has a long-term vision of developing a fully autonomous AI Robot Prof.
Language:HTML 8/ mcp-space
MCP Space is a no-code platform for building and deploying AI tools using the Model Context Protocol (MCP). Create powerful AI agents through an intuitive chat interface without writing code, then deploy with one click to Cloudflare Workers. Combines a Next.js frontend with Google ADK backend for a seamless AI development experience.
Language:TypeScript 8/ JobSearch-Agent
JobSearch-Agent automates job searching by scraping listings, filtering based on user preferences, and managing applications. Easily customize search criteria, track progress, and streamline your job hunt with this efficient, Python-powered tool.
Language:Python 8/ mcp-agent-tool-adapter
Transforms MCP tools into collaborative, reasoning agents using modern agent frameworks.
Language:Python 8/ metriqe
📘 Metriqe AI Training Repository – A curated collection of hands-on course materials and code for Metriqe’s corporate training in Python and Generative AI. This repo includes examples and notebooks covering core Python, OpenAI chatbots, LangChain workflows with LangFlow, LangGraph multimodal agents, Google A2A & Anthropic MCP integrations.
Language:Python 7/ frame-ai
Frame.AI is a collaborative AI agent system built with Google's ADK to perform intelligent, modular video segmentation.
Language:Python 7/ adk-extra-services
A Python package providing additional service implementations for the Google ADK framework (S3, Redis, MongoDB, Azure, etc)
Language:Python 7/ adk-human-in-the-loop
An example of an ADK agent performing human-in-the-loop.
Language:Python 7/ a2a-retail-demo
A2A protocol demo: Orchestrated AI agents for retail using Google ADK, LangGraph, and Vertex AI Search
Language:Python 7/ TraceX
Managing digital evidences presented in courts with chain of custodies to track evidence with blockchain and IPFS storage and Google technologies
Language:TypeScript 7/ adk-mcp-brightdata
A comprehensive implementation of Google's Agent Development Kit (ADK) v1.2.0+ integrated with Bright Data's Model Context Protocol (MCP) server for intelligent web search and data extraction capabilities.
Language:Python 6/ production-ai-customer-support
Enterprise-grade multi-agent AI customer support system. Built for production, saves companies £150K+ annually. Complete tutorials included.
Language:Python 5/ yt-short-generator-adk
A Telegram bot that uses Google's Agent Development Kit (ADK) to generate and upload YouTube Shorts based on a title and description.
Language:Python 5- Language:Python 5
/ project-agora
Project Agora: An expert system for the Google ADK, powered by a hierarchical multi-agent framework to automate code generation, architecture, and Q&A.
Language:Python 4/ venture-assist-ai
An intelligent assistant designed to streamline common tasks for startup founders and entrepreneurs, powered by Google's Agent Development Kit and Gemini Pro/Flash. It automates Google Workspace interactions (Drive, Calendar, Slides) to save time and boost productivity.
Language:Python 4/ examples
Samples to demonstrate how Monocle works for agentic applications
Language:Python 3/ multiple-agents-on-single-a2a-server
Run multiple agents on single A2A Server
Language:Python 3/ squirry-database-connector
Multi-database connector agent built with Google ADK leveraging MCP Toolbox for database
Language:Python 3/ template-slack-chatbot
A powerful conversational agent that integrates seamlessly with Slack workspaces. This agent demonstrates advanced AI capabilities for building interactive Slack bots with tool integration, conversation management, and intelligent response generation.
Language:Python 3/ childbook-adk
✨ AI-powered multi-agent system that automates children’s story writing, reviewing, and illustration using Google ADK & Gemini.
Language:Python 3- lenoai
/ lenoai
Leno AI - Open-Source Multi-Agent Framework. For educational purposes.
Language:TypeScript 3 / a2adk-template
이 샘플은 에이전트 개발 키트(ADK)를 사용하여 A2A 서버로 호스팅되는 간단한 "weather_time_agent" 에이전트를 만듭니다.
Language:TypeScript 3/ AI_Agent_with_MCP
MCP server built with Google’s Agent Development(ADK) Kit featuring multiple specialised agents that collaborate through intelligent routing. The system provides RESTful API endpoints for various capabilities including web searches, data analysis, and code generation while maintaining extensibility through a modular architecture
Language:Python 3/ e19-4yp-Legal-Chain-Resolver-With-Mixture-of-Experts-and-Multi-Agent-System-for-Legal-Assistance
This research aims to develop an AI Legal Chain Resolver using Mixture-of-Experts and a multi-agent system to provide tailored legal guidance. It simplifies legal navigation across statutes, precedents, and regulations while offering legal assistance through a conversational system to enhance accessibility and understanding.
Language:Python 3/ tod
Three-stage pipeline for generating MCP servers on demand. Built with Google ADK agents and FastMCP.
Language:Python 2