Agent Examples

A comprehensive collection of AI agent examples across multiple frameworks, demonstrating various automation and processing capabilities.

Overview

This repository provides practical examples and comparisons of different AI agent frameworks. Each framework directory contains specialized agents showcasing unique approaches to agent development, from simple task automation to complex multi-agent workflows.

Supported Frameworks

• GoogleADK - Google's Agent Development Kit for specialized agents
• CrewAI - Multi-agent collaboration framework
• LangChain LangGraph - Graph-based agent workflows
• MS AutoGen - Microsoft's multi-agent conversation framework
• Hugging Face SmolAgents - Lightweight agent framework

Key Features

• Multi-Framework Examples: Compare approaches across different agent frameworks
• Specialized Agent Architecture: Purpose-built agents for specific tasks
• Cost Optimization: Local model integration to reduce API costs
• Educational Resource: Learn patterns and best practices from each framework
• Extensible Examples: Easy to modify and extend for your use cases

Quick Start

See getting-started.md for framework selection guidance and setup instructions.

Framework Comparison

Each framework offers unique strengths:

• GoogleADK: Efficient local processing and specialized operations
• CrewAI: Team-based multi-agent collaboration
• LangGraph: Complex workflow orchestration with graph structures
• AutoGen: Conversational multi-agent interactions
• SmolAgents: Lightweight and fast agent deployment

Documentation

• Getting Started Guide - Framework selection and setup
• Framework-specific documentation in each directory
• Individual agent documentation within framework folders