Explore open-source reference implementations powered by Google Gemini 1.5 Pro for autonomous tool execution, complex multi-step reasoning, and hybrid retrieval.
A powerful business consultant powered by Google's Agent Development Kit that provides comprehensive market analysis, strategic planning, and actionable business recommendations with real-time web research.
The AI Financial Coach is a personalized financial advisor powered by Google's ADK (Agent Development Kit) framework. This app provides comprehensive financial analysis and recommendations based on user inputs including income,...
The AI Health & Fitness Planner is a personalized health and fitness Agent powered by Agno AI Agent framework. This app generates tailored dietary and fitness plans based on user inputs such as age, weight, height, activity level,...
A multi-agent system built with Google ADK that analyzes photos of your space, creates personalized renovation plans, and generates photorealistic renderings using Gemini 3 Flash and Gemini 3 Pro's multimodal capabilities.
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,...
A streamlined multi-phase research agent built with Google's Interactions API that demonstrates stateful conversations, model mixing, background execution, and automatic infographic generation.
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.
A multi-agent AI pipeline that generates competitive sales battle cards in real-time, built with Google ADK and Gemini.
A multi-agent AI pipeline for startup investment analysis, built with Google ADK, Gemini 3 Pro, Gemini 3 Flash and Nano Banana Pro.
A reference implementation demonstrating how to build a multi-agent pipeline that aggregates technical signals from multiple sources, scores them for relevance, assesses risks, and synthesizes an actionable intelligence digest.
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...
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...
A Streamlit application that provides comprehensive design analysis using a team of specialized AI agents powered by Google's Gemini model. This application leverages multiple specialized AI agents to provide comprehensive analysis of...
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.
An open-source autonomous agent for controlling Windows desktop applications and GUI workflows using computer-use models.
One model is a bottleneck. A team with one brain, twenty hands, and a board advisor is not.
Automatically optimize your agent skills using a multi-agent system built with Google ADK (Agent Development Kit) and Gemini. Upload a skill, let the agents generate test scenarios and evaluation criteria, then watch as three...
62llminteractioncallbacks/ ├── agent.py # Agent with LLM interaction callbacks ├── app.py # Streamlit web interface └── README.md # This file.
Google ADK provides powerful pre-built tools that are optimized for performance and reliability. These tools integrate seamlessly with Gemini models and provide essential capabilities like web search and code execution.
cd 31customersupportticketagent 4. The response will be a structured JSON with all ticket details.
4. The response will be a structured JSON with subject and body fields.
This example demonstrates how to connect an ADK agent to a filesystem MCP server using the MCPToolset. The agent can perform file operations like reading, writing, and listing files through the Model Context Protocol.
A sophisticated multi-agent system built with Google ADK that uses Firecrawl MCP tools for web scraping and coordinates between specialized research and summary agents.
Third-party tools allow you to integrate existing tool ecosystems from frameworks like LangChain, CrewAI, and others. This dramatically expands your agent's capabilities by leveraging battle-tested tools from the broader AI community.
An ADK agent is a programmable AI assistant that can: Think of it as creating a smart function that uses AI to handle complex tasks. The main building block for creating AI agents in ADK.
Tool execution callbacks allow you to monitor when agents use tools, track their execution lifecycle, and analyze the results. This provides visibility into how agents interact with external systems and APIs.
AgentScout is an always-on Hacker News briefing agent built with Google ADK. It scans Hacker News for high-signal stories about AI agents, MCP, coding agents, workflow automation, and LLM apps, then turns a featured links into a concise...
Release Radar is an always-on dependency briefing agent built with Google ADK. It reads requirements.txt or package.json, checks mapped dependencies against GitHub releases, and reports only changes that need attention: breaking...
An interactive Tic-Tac-Toe game where two AI agents powered by different language models compete against each other built on Agno Agent Framework and Streamlit as UI.
This Streamlit app implements a multi-agent career coaching assistant built with Google's Agent Development Kit (ADK). A career orchestrator agent delegates each question to the right specialist sub-agent (resume, interview practice,...
A RAG Agentic system built with the new Gemini 2.0 Flash Thinking model and gemini-exp-1206, Qdrant for vector storage, and Agno (phidata prev) for agent orchestration. This application features intelligent query rewriting, document...
AI Blog Search is an Agentic RAG application designed to enhance information retrieval from AI-related blog posts. This system leverages LangChain, LangGraph, and Google's Gemini model to fetch, process, and analyze blog content,...
You'll need the following API keys: streamlit run ragreasoningagent.py 4. Configure API Keys:.
This is a multimodal RAG app built with Gemini Embedding 2 and Google ADK. Add text, URLs, PDFs, images, audio, or video; ask a question; and get a grounded answer with clear citations.
PharmaQuery is an advanced Pharmaceutical Insight Retrieval System designed to help users gain meaningful insights from research papers and documents in the pharmaceutical domain.
A powerful visual Retrieval-Augmented Generation (RAG) system that utilizes Cohere's modern Embed-4 model for multimodal embedding and Google's efficient Gemini 2.5 Flash model for answering questions about images and PDF pages.
This is an AI-powered application designed to help users emotionally recover from breakups by providing support, guidance, and emotional outlet messages from a team of specialized AI agents. The app is built using Streamlit and Agno,...
A Medical Imaging Diagnosis Agent build on agno powered by Gemini 2.0 Flash that provides AI-assisted analysis of medical images of various scans. The agent acts as a medical imaging diagnosis expert to analyze various types of medical...
A Streamlit application that combines video analysis and web search capabilities using Google's Gemini 2.5 model. This agent can analyze uploaded videos and answer questions by combining visual understanding with web-search.
A voice-first insurance claim intake app that lets a claimant talk naturally while the agent builds a structured claim packet in real time. The UI shows the live conversation, extracted claim facts, operator guidance, missing items, and...
