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🔥 AI Startup Insight with Firecrawl FIRE-1 Agent

An advanced web extraction and analysis tool built using Firecrawl's FIRE-1 agent + extract v1 endpoint and the Agno Agent framework to get details of a new startup instantly! This application automatically extracts structured data from startup websites and provides AI-powered business analysis, making it easy to gather insights about companies without manual research.

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🤖 AI System Architect Advisor with R1

An Agno agentic system that provides expert software architecture analysis and recommendations using a dual-model approach combining DeepSeek R1's Reasoning and Claude. The system provides detailed technical analysis, implementation roadmaps, and architectural decisions for complex software systems.

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📡 Earnings Call Analyst Agent

An investor-grade earnings call companion that turns any YouTube earnings call into a playback-synced analyst workspace. Paste a call URL, watch the video, and let ADK agents surface the numbers, tone shifts, filing context, and market-moving surprises that are easy to miss in a live call.

원본 환경 확인 필요

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🔬 AI Research Planner & Executor Agent with Google's Interactions API

A streamlined multi-phase research agent built with **Google's Interactions API** that demonstrates stateful conversations, model mixing, background execution, and automatic infographic generation.

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main.py

**Windows-Use** is a powerful automation agent that interact directly with the Windows at GUI layer. It bridges the gap between AI Agents and the Windows OS to perform tasks such as opening apps, clicking buttons, typing, executing shell commands, and capturing UI state all without relying on traditional computer vision models. Enabling any LLM to perform computer automation instead of relying on specific models for it.

원본 환경 확인 필요

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AG2 Adaptive Research Team

A Streamlit app that blends agent teamwork with agent-enabled routing and fallback, built entirely on AG2.

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🧲 AI Competitor Intelligence Agent Team

The AI Competitor Intelligence Agent Team is a powerful competitor analysis tool powered by Firecrawl and Agno's AI Agent framework. This app helps businesses analyze their competitors by extracting structured data from competitor websites and generating actionable insights using AI.

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ai_finance_agent_team

This script demonstrates how to build a team of AI agents that work together as a financial analyst using GPT-4o in just 20 lines of Python code. The system combines web search capabilities with financial data analysis tools to provide comprehensive financial insights.

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AI Game Design Agent Team 🎮

The AI Game Design Agent Team is a collaborative game design system powered by [AG2](https://github.com/ag2ai/ag2?tab=readme-ov-file)(formerly AutoGen)'s AI Agent framework. This app generates comprehensive game concepts through the coordination of multiple specialized AI agents, each focusing on different aspects of game design based on user inputs such as game type, target audience, art style, and technical requirements. This is built on AG2's new swarm feature run through initiate_chat() method.

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👨‍⚖️ AI Legal Agent Team

A Streamlit application that simulates a full-service legal team using multiple AI agents to analyze legal documents and provide comprehensive legal insights. Each agent represents a different legal specialist role, from research and contract analysis to strategic planning, working together to provide thorough legal analysis and recommendations.

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🏠 AI Real Estate Agent Team

The **AI Real Estate Agent Team** is a sophisticated property search and analysis platform powered by specialized AI agents with Firecrawl's extract endpoint. This application provides comprehensive real estate insights, market analysis, and property recommendations using advanced web scraping and AI-powered search capabilities.

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💼 AI Recruitment Agent Team

A Streamlit application that simulates a full-service recruitment team using multiple AI agents to automate and streamline the hiring process. Each agent represents a different recruitment specialist role - from resume analysis and candidate evaluation to interview scheduling and communication - working together to provide comprehensive hiring solutions. The system combines the expertise of technical recruiters, HR coordinators, and scheduling specialists into a cohesive automated workflow.

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👨🏻‍💼 AI Sales Intelligence Agent Team

A multi-agent AI pipeline that generates competitive sales battle cards in real-time, built with [Google ADK](https://google.github.io/adk-docs/) and Gemini 3.

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🔍 AI SEO Audit Team

The **AI SEO Audit Team** is an autonomous, multi-agent workflow built with Google ADK. It takes a webpage URL, crawls the live page, researches real-time SERP competition, and produces a polished, prioritized SEO optimization report. The app uses **Firecrawl via MCP (Model Context Protocol)** for accurate page scraping and Google's Gemini 2.5 Flash for analysis and reporting.

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AI Services Agency 👨‍💼

An AI application that simulates a full-service digital agency using multiple AI agents to analyze and plan software projects. Each agent represents a different role in the project lifecycle, from strategic planning to technical implementation.

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👨‍🏫 AI Teaching Agent Team

A Streamlit application that brings together a team of specialized AI teaching agents who collaborate like a professional teaching faculty. Each agent acts as a specialized educator: a curriculum designer, learning path expert, resource librarian, and practice instructor - working together to create a complete educational experience through Google Docs.

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✈️ TripCraft AI

Travel planning is overwhelming—juggling dozens of tabs, comparing conflicting info, spending hours just to get started. TripCraft AI makes that disappear. It's a multi-agent AI system that turns simple inputs into complete travel itineraries. Describe your ideal trip, and it handles flights, hotels, activities, and budget automatically.

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📊 AI VC Due Diligence Agent Team

A multi-agent AI pipeline for startup investment analysis, built with [Google ADK](https://google.github.io/adk-docs/), Gemini 3 Pro, Gemini 3 Flash and Nano Banana Pro.

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💻 Multimodal AI Coding Agent Team with o3-mini and Gemini

An AI Powered Streamlit application that serves as your personal coding assistant, powered by multiple Agents built on the new o3-mini model. You can also upload an image of a coding problem or describe it in text, and the AI agent will analyze, generate an optimal solution, and execute it in a sandbox environment.

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Multimodal AI Design Agent Team

A Streamlit application that provides comprehensive design analysis using a team of specialized AI agents powered by Google's Gemini model.

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🎨 🍌 Multimodal UI/UX Feedback Agent Team with Nano Banana

A sophisticated multi-agent system built with Google ADK that analyzes landing page designs, provides expert UI/UX feedback, and automatically generates improved versions using Gemini 2.5 Flash's multimodal capabilities.

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Software Bug Assistant - ADK Java Sample Agent

The Software Bug Assistant is a sample agent designed to help IT Support and Software Developers triage, manage, and resolve software issues. This sample agent uses ADK Java, a PostgreSQL bug ticket database, and Google Search to assist in debugging.

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Time Series Forecasting Agent with Google ADK and MCP Toolbox 🔮

This sample application demonstrates a Time Series Forecasting Agent built using the Google Agent Development Kit (ADK) for Java. The agent leverages an MCP (Model Context Protocol) Toolbox server to access and execute forecasting tools defined against a Google BigQuery backend.

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Academic Research

AI-driven agent designed to facilitate the exploration of the academic landscape surrounding seminal research works. Recognizing the challenge researchers face in navigating the expanding body of literature influenced by foundational studies, this agent offers a streamlined approach. By accepting a seminal paper identified provided as file input, the agent first analyzes the core contributions of the specified work.

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ADK Agent Runtime + OAuth — Google Drive Reader

A production-ready ADK agent deployed on **Agent Runtime** with **OAuth 2.0** support for reading Google Drive files on behalf of authenticated users. Works both locally via **ADK Web UI** and in production via **Gemini Enterprise**.

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Agent Observability (BigQuery)

This sample demonstrates how to build an agent that interacts directly with Google BigQuery, while also leveraging the `BigQueryAgentAnalyticsPlugin` for observability and logging.

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Building ADK Agents with Skills — From Inline to Meta

Build an ADK agent that uses four different skill patterns: inline skills defined in Python, file-based skills loaded from directories, external skills pulled from community repos, and a meta skill that generates new skills on demand. Each pattern demonstrates a different tradeoff between simplicity and reusability.

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Ambient Expense Agent

A production-ready **ambient agent** that processes expense reports arriving via Pub/Sub and routes them through an **ADK 2.0 graph-based workflow**. Low-value expenses are auto-approved instantly; high-value ones go through LLM risk analysis and **human-in-the-loop approval** before a decision is made.

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Brand-Aligned Presentations.

**Architecture:** Multi-Agent System on Vertex AI **Model:** Gemini 2.5 Flash or later version

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Brand Search Optimization

This sample is an Agent Development Kit (ADK) multi-agent workflow that helps optimize retail product titles for brand search performance.

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