I am learning Google ADK (Agent Development Kit) following the official quickstart guide.
A collection of intelligent agents built using the Google Agent Development Kit (ADK).
| Agent | Description |
|---|---|
| Data Analysis Agent | Connects to databases (SQL/BigQuery) to answer questions and visualize data. |
| Streamlit Code Generator | Generates complete Streamlit apps from natural language prompts. |
| Playwright Agent | Browser automation agent using Playwright MCP for web scraping and interaction. |
| Job Search Agent | Parses resumes and browses job boards to find relevant opportunities. |
| Crawl4AI Agent | Agentic RAG system using Crawl4ai and Supabase for documentation search. |
| Financial MCP Agent | Fetches financial data via the Financial Datasets MCP server. |
| Test Data Generator | Generates realistic test data (profiles, business data) for development. |
| Memory Agent CLI | Interactive storytelling agent with persistent memory. |
| MCP Agent ADK | Demo of integrating custom MCP servers with Google ADK. |
| XrayAgent | Multi-agent system for automated test case management in Jira using Xray with 73+ Jira API functions. |
Each agent has its own README.md with specific installation and usage instructions. Navigate to the agent's directory to learn more.
- Official Documentation: Google ADK Quickstart
- Project Repository: This repository contains my learning projects and experiments with Google ADK
- Set up Google ADK environment
- Create basic agent with tools
- Integrate MCP (Model Context Protocol) tools
- Build Playwright automation agent
- Explore advanced ADK features
- Deploy agents to production
- Explore more ADK tutorials and examples
- Build additional specialized agents
- Learn about agent deployment and scaling
- Experiment with different model configurations
Learning Resources: Google ADK Documentation