๐ŸŒŸ Build with AG2

June 9, 2026 ยท View on GitHub

Are you building with AG2? Add your project to the list by submitting code through pull requests or add a link to your own repository!

A curated collection of awesome agentic applications built with AG2.

  • ๐Ÿ’ก Practical implementations demonstrating AI agents in action - from custom support to smart email management systems

  • ๐Ÿ”ฅ Cutting-edge AI agent applications that seamlessly integrate models from OpenAI, Anthropic, Gemini, and open-source providers, and a diverse range of tools

  • ๐ŸŽ“ Production-ready, extensively documented agentic projects that help you contribute to the thriving AI agent ecosystem

๐ŸŽ“ AG2 Workshop: 23-Episode Course

New to AG2? The AG2 Workshop takes you from first agent to production deployment in 23 hands-on episodes.

  1. Learn the patterns โ†’ Agent Pattern Cookbook โ€” 13 runnable examples from simple two-agent chat to hierarchical multi-agent systems.
  2. See real apps โ†’ Browse the Featured Agentic Apps section below for complete, documented projects.
  3. Connect external services โ†’ Explore Arcade SDK Examples to integrate OAuth-protected APIs like Gmail and Linear.
  4. Add a UI โ†’ Explore AG-UI Examples to connect your agents to a browser frontend.
  5. Deep dive โ†’ Work through the 7-module workshop for a comprehensive hands-on course.
  6. Go to production โ†’ Use the GCP Agent Starter Pack to deploy your agent to Google's Cloud Run with CI/CD and observability.
SectionEpisodesWhat You Build
Basics1-4Your first agent, tools, two-agent collaboration
Patterns5-9Round-robin, auto, handoffs, pipelines, decision framework
Applications10-15Customer service, research, RAG, web browsing, UI, MCP
Production16-20Observability, security, testing, costs, deployment
Advanced21-23Redundancy, reasoning, what's next

Start Episode 1 โ†’ | Try the Playground (no setup) โ†’

๐Ÿ—บ๏ธ More Ways to Learn

  • See real apps โ†’ Browse the Featured Agentic Apps below for complete, documented projects.
  • Add a UI โ†’ Explore AG-UI Examples to connect your agents to a browser frontend.
  • Go to production โ†’ Use the GCP Agent Starter Pack to deploy your agent to Google Cloud Run with CI/CD and observability.
  • ๐Ÿ›๏ธ E-Commerce Custom Service for Order Management (last updated and ran on 09/20/2025, ag2 version 0.9.9): A smart, agent-driven system that makes order tracking quick and easy while simplifying returns for both logged-in and guest users.
  • ๐Ÿ“ˆ Financial Analysis (last updated and ran on 09/20/2025, ag2 version 0.9.9): A AI-powered stock analysis generating market insights and recommendations.
  • ๐Ÿค– Automated Machine Learning for Kaggle (last updated and ran on 09/20/2025, ag2 version 0.9.9): An agent system to automate the machine learning pipeline for Kaggle competitions.
  • ๐Ÿง‘โ€๐Ÿ”ฌ Deep Research Agent: Reference implementation of the deep research agent.
  • โœˆ๏ธ Travel Planner: A trip planning multi-agent system that creates an itinerary together with a customer.
  • ๐ŸŽฎ AI Game Design Agent Team โš ๏ธ (currently broken โ€” pending fix for AG2 0.9+): A collaborative game design system that generates comprehensive game concepts through the coordination of multiple specialized AI agents.
  • โ˜‘ Manage Todos With Realtime Agent: A voice-controlled todo assistant with real-time interaction.
  • ๐Ÿ” Due Diligence with TinyFish: A multi-agent due diligence pipeline that automatically researches a company from a single URL using AG2 and TinyFish for deep web scraping.
  • ๐Ÿ› ๏ธ IT-Ops Triage: IT Operations reference design using AG2 Beta agent network โ€” parallel diagnosis specialists, human-in-the-loop sign-off as a parallel participant, real persisted tickets with duplication detection, and a live React UI over WebSocket.

๐Ÿ”Œ Arcade SDK Examples

Examples of connecting AG2 agents to external services via Arcade โ€” a managed OAuth2 platform that handles authorization and tool execution, so there's no token storage or manual API setup required.

  • ๐Ÿ“‹ Linear Agent: A natural language interface for managing Linear issues โ€” list, create, and update issues via Arcade's managed OAuth2 integration.
  • ๐Ÿ“ง Gmail Agent: A Gmail management agent that reads, searches, sends, and organizes emails through natural language.

๐Ÿ–ฅ๏ธ AG-UI Examples

Examples of connecting AG2 agents to browser frontends using the AG-UI protocol. Each example includes a FastAPI backend and a vanilla HTML/JS frontend โ€” no React or build step required.

  • ๐ŸŒค๏ธ Weather Agent: Single-agent chat with a weather tool. Demonstrates AGUIStream, streaming text, tool call events, and SSE consumption in the browser.
  • ๐Ÿญ Factory Agent: Multi-agent document pipeline (plan โ†’ draft โ†’ review โ†’ revise โ†’ finalize). Demonstrates ContextVariables with STATE_SNAPSHOT events to provide multi-agent context to the UI.
  • ๐Ÿ”ฌ GPT Researcher: Wraps the GPT Researcher multi-agent pipeline as an AG2 tool and streams pipeline stage updates and the final report to a browser frontend via AG-UI.

โ˜๏ธ Deploy to Google Cloud

  • ๐Ÿš€ GCP Agent Starter Pack: Production-ready template that deploys an AG2 agent to Google's Cloud Run with one command. Includes Terraform, CI/CD (Cloud Build or GitHub Actions), OpenTelemetry tracing, and A2A protocol support for cross-framework agent communication.

๐Ÿš€ Getting Started

  1. Clone the repository

    git clone https://github.com/ag2ai/build-with-ag2.git
    
  2. Navigate to the desired project directory

    cd build-with-ag2/travel-planner
    
  3. Install the required dependencies

    # Requires Python >= 3.9, < 3.14
    pip install -r requirements.txt
    
  4. Follow the project-specific instructions in each project's README.md file to set up and run the app.

  • ๐Ÿ““ AG2 Notebooks: AG2 notebooks
  • ๐Ÿ–ฅ๏ธ Waldiez: UI for designing AG2-based workflows using drag-and-drop
  • ๐Ÿฆธ HeroYouth: Empowering youth against school bullying
  • ๐Ÿ”ฌ SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
  • ๐ŸŒ Agent-E: A browser automation agent for natural language-driven web interactions and task automation.
  • ๐Ÿ“ฑ Aquinas: AI-Powered social media engagement tool
  • ๐Ÿ›ก๏ธ disarmBot: A multi-agent LM system for analyzing disinformation based on DISARM
  • ๐Ÿ› ๏ธ Hercules: An open-source testing agent that turns simple Gherkin steps into fully automated end-to-end tests
  • ๐Ÿ“Š CMBAgent: Multi-agent system for data analysis and visualization
  • ๐Ÿ” AutoDefense: Multi-agent LLM Defense against jailbreak attacks
  • ๐Ÿ” Prompt Leakage Probing: Framework for testing LLM agents for system prompt leaks
  • ๐Ÿ’Œ AI-Powered Event Invitation Workflow: Multi-agent event invitation system using Neosantara AI's Grok 4 for personalized multilingual content generation
  • โšก L402 Lightning Payments for AG2: Gives AG2 agents the ability to access L402-protected APIs with automatic Bitcoin Lightning micropayments using register_function()
  • ๐Ÿ’ง AquaInsightAI: AI-powered multi-agent water analytics platform to analyse datasets, create visualisations, and produce technical reports.

๐Ÿค Contributing to AG2 Open Source

Created something with AG2? Contributions are welcome! If you have any ideas, improvements, or new apps to add, please create a new GitHub Issue or submit a pull request. Make sure to follow the existing project structure and include a detailed README.md for each new app.

Refer to the external repository guide to link to your own repositories showcasing projects built with AG2.

Option 2: Creating a new project

  • You can take the project template as a starting point
  • Use kebab-case for a new project, e.g. space-time-travel-agent
  • Add a requirements.txt file with the required libraries
  • Write a concise README.md file, use this as a template
  • Add a OAI_CONFIG_LIST_sample file
  • Create your project and contribute. Happy coding!

Code Style and Linting

This project uses pre-commit hooks to maintain code quality. Before contributing:

  1. Install pre-commit:
pip install pre-commit
pre-commit install
  1. The hooks will run automatically on commit, or you can run them manually:
pre-commit run --all-files

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