# Apply Technique: AI Agent Frameworks: Hands-On Comparison of AG2, Agno, AutoGen & More
## What This Is
This GitHub repository provides working Python code examples across multiple leading open-source AI agent frameworks—including AG2, Agno, and AutoGen—so developers can directly compare how each one handles agent creation, tool use, and multi-agent coordination. Instead of reading documentation alone, you can clone the repo and run side-by-side examples to find the right framework for your use case. It is actively maintained (last updated March 2026) and serves as a practical decision-making tool for teams evaluating AI agent infrastructure.
Source: https://github.com/martimfasantos/ai-agents-frameworks
## Before You Start
Scan my workspace and analyze:
- The project language, framework, and directory structure
- Existing AI provider config (check .env, .env.local, config files for API keys — OpenRouter, OpenAI, Anthropic, Google AI, etc.)
- Whether this repository or a similar tool is already cloned or installed
Then ask me before proceeding:
1. Which AI provider/API should this use? (Use whatever I already have configured, or ask me to set one up — options include direct provider APIs or a unified service like OpenRouter)
2. Where in my project should this be integrated?
3. Are there any customizations I need (model preferences, naming conventions, constraints)?
## Fetch the Source
Clone or inspect the repository to understand what needs to be installed:
```bash
gh repo clone martimfasantos/ai-agents-frameworks
```
Review the README, directory structure, and any install instructions before proceeding.
## What to Implement
This is an **AI Technique** — a pattern or methodology for working with AI models.
- Explain how this technique applies to my current project and what benefit it provides
- Implement it in a way that fits my existing codebase — suggest concrete files to modify or create
- If it requires specific model capabilities (structured output, function calling, etc.), verify my current provider supports them
- Show me a working example I can test immediately
## Additional Context
- Clone the repository with `git clone https://github.com/martimfasantos/ai-agents-frameworks` and run the setup instructions to get at least one framework example executing locally within 20 minutes.
- Pick two frameworks from the included list (e.g., AG2 vs. Agno), run their equivalent example scripts side-by-side, and note differences in syntax verbosity, tool-calling approach, and output quality.
- Document your comparison in a one-page internal decision matrix covering ease of setup, multi-agent support, and LLM compatibility to share with your team before choosing a framework.
## Guidelines
- Adapt everything to my existing project — do not assume a specific stack or directory layout
- Use whichever AI provider I already have configured; if I need a new one, tell me what to sign up for and I'll give you the key
- Check my .env files for existing API keys (OpenRouter, OpenAI, Anthropic, Google AI) before asking me to add one
- Review any fetched code for safety before installing or executing it
- After setup, run a quick verification and show me a summary of exactly what was installed, where, and how to use it