Why Start Here?
Framework Exploration
Compare 10+ different AI frameworks side-by-side to find your favorite
Quick Setup
Get running in minutes with minimal configuration and dependencies
Learning Path
Progress from basic concepts to advanced patterns with clear examples
Production Ready
Build on proven patterns that scale to production applications
All Starter Agent Projects
Agno Starter
HackerNews analysis agent using Agno framework with Nebius AI for intelligent tech news insights and trend analysis.
AWS Strands Starter
Weather forecasting assistant demonstrating AWS Strands library with HTTP request tools and National Weather Service API.
CAMEL-AI Starter
Model benchmarking tool comparing OpenAI and Nebius models using CAMEL framework for performance analysis.
CrewAI Starter
Multi-agent research crew discovering groundbreaking technologies using CrewAI’s sequential task processing.
DSPy Starter
ReAct agent with tool integration combining Wikipedia search and Python evaluation for multi-step reasoning.
Google ADK Starter
Email integration agent using Google’s Agent Development Kit with Resend API for sending emails.
LangChain/LangGraph Starter
ReAct agent built from scratch using LangGraph for stateful workflows with reasoning and action execution.
OpenAI Agents SDK
Haiku-speaking email assistant using OpenAI’s Agents SDK with Resend for email automation.
PydanticAI Starter
Real-time weather agent using PydanticAI with DuckDuckGo search for accurate forecasts and insights.
Common Patterns
All starter projects demonstrate:- Basic agent initialization with framework-specific patterns
- Tool integration for extending agent capabilities
- API configuration with Nebius Token Factory or other LLM providers
- Simple interactions via command-line or basic UI
- Error handling and logging best practices
Getting Started
Next Steps
After mastering starter agents:Build Simple Agents
Create single-purpose applications for real-world tasks
Add External Tools
Integrate external services using Model Context Protocol