Debug your AI 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.
A curated list of awesome resources for Google's Agent Development Kit (ADK)
A framework for building agent workflows
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.
This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.
Python middleware bridging Google ADK agents with AGUI protocol via Server-Sent Events for real-time agent interactions
Complete demo of Google ADK Visual Agent Builder with multi-agent research system
Multi-Agent System built with Google ADK and OpenRouter models, coordinating specialist agents to query PostgreSQL (via MCP Toolbox) and Data Commons for HDB resale data and global statistics.
Rust Agent Development Kit (ADK-Rust): Build AI agents in Rust with modular components for models, tools, memory, realtime voice, and more. ADK-Rust is a flexible framework for developing AI agents with simplicity and power. Model-agnostic, deployment-agnostic, optimized for frontier AI models. Includes support for real-time voice agents.
Cognisphere ADK is an AI agent development framework built on Google's Agent Development Kit (ADK)
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.
A Python package providing additional service implementations for the Google ADK framework (S3, Redis, MongoDB, Azure, etc)
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.
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.
Enterprise-grade multi-agent AI customer support system. Built for production, saves companies £150K+ annually. Complete tutorials included.
Frame.AI is a collaborative AI agent system built with Google's ADK to perform intelligent, modular video segmentation.
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