workflowbeginnerGeneral AI

Awesome AI Agents: A Curated List of Frameworks and Tools

This is a curated directory of modern AI agent frameworks and developer tools. It provides a comprehensive overview of the current landscape, helping builders choose the right technology for creating specialized AI assistants that can perform complex, multi-step tasks.

AI SETUP PROMPT

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

# Set Up Workflow: Awesome AI Agents: A Curated List of Frameworks and Tools

## What This Is
This is a curated directory of modern AI agent frameworks and developer tools. It provides a comprehensive overview of the current landscape, helping builders choose the right technology for creating specialized AI assistants that can perform complex, multi-step tasks.

Source: https://github.com/ARUNAGIRINATHAN-K/awesome-ai-agents

## 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 ARUNAGIRINATHAN-K/awesome-ai-agents
```
Review the README, directory structure, and any install instructions before proceeding.

## What to Implement

This is an **AI Workflow** — an end-to-end automation pattern or integration pipeline.

- Study the workflow architecture from the source and context below
- Identify which parts I can implement locally vs. parts that need external services
- For local parts: implement them using my existing stack and API keys
- For external parts: tell me exactly what services I need and help me configure the integration code
- Wire up any required API calls using keys from my .env files

## Additional Context

- Scan the user's project dependencies (e.g., package.json, requirements.txt) and cross-reference them with the frameworks listed in the 'awesome-ai-agents' repository to identify which technologies the user might already be familiar with or have installed.
- Prompt the user to describe their project goal (e.g., 'build a customer support chatbot', 'create a code generation agent'). Analyze the descriptions of the frameworks in the list and recommend the top 2-3 most suitable options, explaining the trade-offs of each.
- After the user selects a framework from the recommendation list, find its GitHub repository link in the list, pull its quickstart or 'hello world' example, and scaffold a new starter project in the user's current workspace, installing any necessary dependencies.

## 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

3,208 charactersCompatible with Claude Code & Codex CLI

MANUAL SETUP STEPS

01Scan the user's project dependencies (e.g., package.json, requirements.txt) and cross-reference them with the frameworks listed in the 'awesome-ai-agents' repository to identify which technologies the user might already be familiar with or have installed.
02Prompt the user to describe their project goal (e.g., 'build a customer support chatbot', 'create a code generation agent'). Analyze the descriptions of the frameworks in the list and recommend the top 2-3 most suitable options, explaining the trade-offs of each.
03After the user selects a framework from the recommendation list, find its GitHub repository link in the list, pull its quickstart or 'hello world' example, and scaffold a new starter project in the user's current workspace, installing any necessary dependencies.

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