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AI Agent Frameworks: Hands-On Comparison of AG2, Agno, AutoGen & More

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.

AI SETUP PROMPT

Paste into Claude Code or Codex CLI — it will scan your project and set everything up

# 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
3,275 charactersCompatible with Claude Code & Codex CLI
MANUAL SETUP STEPS
  1. 01Clone 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.
  2. 02Pick 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.
  3. 03Document 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.

FIELD OPERATIONS

Automated Customer Support Triage Agent

Use this repo's examples as a foundation to build a multi-agent system where one agent classifies incoming support tickets by urgency, a second agent drafts responses, and a third escalates unresolved issues—comparing which framework (AG2, Agno, or AutoGen) delivers the cleanest handoff logic.

Competitive Intelligence Research Pipeline

Build a multi-agent workflow where one agent scrapes public competitor news, a second summarizes findings, and a third generates a structured weekly briefing—use the repo's framework examples to prototype in two different frameworks and benchmark speed and cost per run.

STRATEGIC APPLICATIONS

  • →A software team evaluating AI agent infrastructure can use this repo to run real code in AG2, Agno, and AutoGen within a single afternoon, cutting weeks off their framework selection process before committing engineering resources.
  • →A startup building an AI-powered internal operations tool can fork specific framework examples from this repo as scaffolding, reducing time-to-prototype for workflows like document processing or automated reporting from days to hours.

TAGS

#ai-agents#multi-agent#autogen#ag2#agno#python#framework-comparison#open-source#llm-orchestration
Source: GITHUB · Quality score: 7/10
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