AI Prompt Archive

Streamlit app simulating a full recruitment team with AI agents for resume screening, scheduling, and candidate communication.

A Streamlit application that simulates a full-service recruitment team using multiple AI agents to automate and streamline the hiring process. Each agent represents a different recruitment specialist role - from resume analysis and candidate evaluation to interview scheduling and communication - working together to provide comprehensive hiring solutions. The system combines the expertise of techni

A requirements.txt listing core and optional Python packages for a Streamlit-based PDF application.

phidata
agno>=2.2.10
streamlit==1.40.2
PyPDF2==3.0.1
streamlit-pdf-viewer==0.0.19
requests==2.32.3
pytz==2023.4
typing-extensions>=4.9.0

# Optional but recommended
black>=24.1.1  # for code formatting
python-dateutil>=2.8.2  # for date parsing

A multi-agent AI system that auto-generates personalized travel itineraries covering flights, hotels, dining, and budgets.

**Your journey, perfectly crafted with intelligence.**

Travel planning is overwhelming—juggling dozens of tabs, comparing conflicting info, spending hours just to get started. TripCraft AI makes that disappear. It's a multi-agent AI system that turns simple inputs into complete travel itineraries. Describe your ideal trip, and it handles flights, hotels, activities, and budget automatically.

## 

Collaborative AI agent team using AG2 framework to generate comprehensive game design concepts from user inputs.

### 🎓 FREE Step-by-Step Tutorial 
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-ai-game-design-agent-team) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**

The AI Game Design Agent Team is a collaborative game design system powered by [AG2](https://github.com/ag2ai/ag2?tab=readme-ov

A requirements file specifying Streamlit and AutoGen package dependencies.

streamlit==1.41.1
autogen

AI pipeline using Google ADK and Gemini models to research startups, model financials, assess risks, and generate investment reports.

A multi-agent AI pipeline for startup investment analysis, built with [Google ADK](https://google.github.io/adk-docs/), Gemini 3 Pro, Gemini 3 Flash and Nano Banana Pro.

**Works with any startup** - from early-stage unknowns to well-funded companies. Just provide a company name, website URL, or both.

## Features

- 🔍 **Live Research** - Real-time web search for company and market data
- 🌐 **URL 

Defines minimum version requirements for Google ADK, Genai, dotenv, and matplotlib packages.

google-adk>=1.0.0
google-genai>=1.0.0
python-dotenv>=1.0.0
matplotlib>=3.8.0

Streamlit app using specialized Gemini-powered AI agents for UI/UX visual, UX, and market design analysis.

### 🎓 FREE Step-by-Step Tutorial 
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-multimodal-ai-agent-design-team) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**

A Streamlit application that provides comprehensive design analysis using a team of specialized AI agents powered by Googl

A list of Python package dependencies with version specifications for a generative AI and Streamlit project.

google-generativeai==0.8.3
streamlit==1.41.1
agno>=2.2.10
Pillow==11.0.0
duckduckgo-search==6.3.7

Streamlit app using o3-mini and Gemini agents to analyze, generate, and sandbox-execute coding solutions.

An AI Powered Streamlit application that serves as your personal coding assistant, powered by multiple Agents built on the new o3-mini model. You can also upload an image of a coding problem or describe it in text, and the AI agent will analyze, generate an optimal solution, and execute it in a sandbox environment.

## Features
#### Multi-Modal Problem Input
- Upload images of coding problems (sup

Specifies Python dependencies including Streamlit, E2B code interpreter, Agno, and Pillow.

streamlit
e2b-code-interpreter
agno>=2.2.10
Pillow

Specifies Python package dependencies including Google ADK, FastAPI, and Pydantic version constraints.

google-adk>=1.5.0
google-genai>=1.0.0
ag-ui-adk>=0.1.0
fastapi>=0.115.0
uvicorn>=0.34.0
python-dotenv>=1.0.0
pydantic>=2.0.0

Documents npm scripts for starting, testing, building, and ejecting a Create React App project.

### `npm start`
Runs the app in the development mode.\
Open [http://localhost:3000](http://localhost:3000) to view it in your browser.

The page will reload when you make changes.\
You may also see any lint errors in the console.

### `npm test`

Launches the test runner in the interactive watch mode.\
See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-t

A comprehensive Python requirements file listing AI, ML, and web framework dependencies.

addict==2.4.0
agno==1.4.2
aiofiles==24.1.0
aiohappyeyeballs==2.6.1
aiohttp==3.11.18
aioredis==2.0.1
aiosignal==1.3.2
aiosqlite==0.21.0
amqp==5.3.1
annotated-types==0.7.0
anthropic==0.49.0
anyio==4.9.0
APScheduler==3.11.0
asgi-csrf==0.11
asgiref==3.8.1
async-timeout==5.0.1
attrs==25.3.0
audioread==3.0.1
babel==2.17.0
backoff==2.2.1
beautifulsoup4==4.13.4
billiard==4.2.1
blis==1.2.1
boto3==1.38.3
bo

Reference implementation of a multi-agent pipeline that aggregates, scores, risk-assesses, and synthesizes technical signals into a digest.

A reference implementation demonstrating how to build a **multi-agent pipeline** that aggregates technical signals from multiple sources, scores them for relevance, assesses risks, and synthesizes an actionable intelligence digest.

> **Design Philosophy:** Agents are used **only where reasoning is required.** Deterministic operations (collection, normalization, deduplication) are implemented as p

Specifies Python package dependencies for DevPulseAI using OpenAI, Streamlit, and feed parsing libraries.

# Single provider (OpenAI) by default — no multi-provider setup required.

agno
openai
httpx
feedparser
streamlit>=1.30

Multi-agent system using Google ADK and Gemini to analyze room photos, plan renovations, and generate photorealistic renderings.

### 🎓 FREE Step-by-Step Tutorial 
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-ai-home-renovation-planner-agent-using-nano-banana) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**

A multi-agent system built with Google ADK that analyzes photos of your space, creates personalized re

Specifies minimum version dependencies for Google ADK, Generative AI, and dotenv packages.

google-adk>=1.15.0
google-generativeai>=0.8.3
python-dotenv>=1.0.0

Multi-agent used car negotiation simulator with dual AI personalities, real-time streaming, and animated battle UI.

### A Real-Time Agent vs Agent Showdown with AG-UI!

Watch two AI agents battle it out in an epic used car negotiation! Built with **Google ADK** for the backend agents and **AG-UI + CopilotKit** for a jaw-dropping reactive frontend.

## ✨ Features

- **🤖 Dual AI Agents**: Buyer vs Seller with distinct personalities and negotiation strategies
- **🔄 AG-UI Protocol**: Real-time streaming of agent ac

Multi-agent system for real-time air quality monitoring and personalized health recommendations using Firecrawl and Agno.

### 🎓 FREE Step-by-Step Tutorial 
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-aqi-analysis-agent) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**


The AQI Analysis Agent is a powerful air quality monitoring and health recommendation tool powered by Firecrawl and Agno's AI Agent f

Specifies Python package dependencies including agno, openai, firecrawl, gradio, pydantic, and dataclasses.

agno>=2.2.10
openai
firecrawl-py==1.9.0
gradio==5.9.1
pydantic
dataclasses

A multi-agent mental health assessment app using AG2 swarm agents for personalized support and action planning.

The AI Mental Wellbeing Agent Team is a supportive mental health assessment and guidance system powered by [AG2](https://github.com/ag2ai/ag2?tab=readme-ov-file)(formerly AutoGen)'s AI Agent framework. This app provides personalized mental health support through the coordination of specialized AI agents, each focusing on different aspects of mental health care based on user inputs such as emotiona

Lists Python package requirements for AutoGen agent chat, extensions, and Streamlit UI.

autogen-agentchat
autogen-ext
pyautogen
streamlit

Multi-agent Streamlit app using GPT-4o and Firecrawl for competitor analysis, market sentiment, and launch metrics.

### 🎓 FREE Step-by-Step Tutorial 
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-a-multi-agent-product-launch-intelligence-app) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**

A **streamlined intelligence hub** for Go-To-Market (GTM) & Product-Marketing teams.  
Built with **Streamlit 

Defines Python package dependencies for a Streamlit app using Agno and Firecrawl libraries.

streamlit
agno>=2.2.10
firecrawl

Multimodal public speaking coach using AI agents to analyze facial expressions, voice, and speech content.

## Overview
AI Speech Trainer is an AI-powered multi-agent, multimodal public speaking coach that listens to how you speak, watches how you express, and evaluates what you say - helping you become a confident public speaker.

Whether you're preparing for a TED talk, interview, or school presentation, AI Speech Trainer provides you with personalized feedback, helping you improve your public speakin

A list of Python package dependencies for an AI project involving video, audio, and face analysis.

streamlit
pandas
plotly
opencv-python
tf-keras
deepface
mediapipe
agno
openai
requests
librosa
python-dotenv
moviepy
faster-whisper
fastapi
uvicorn

README for EvoAgentX, an automated framework for evaluating and evolving agentic workflows using LLMs.

<!-- Add logo here -->
<div align="center">
  <a href="https://github.com/EvoAgentX/EvoAgentX">
    <img src="./assets/EAXLoGo.svg" alt="EvoAgentX" width="50%">
  </a>
</div>

<h2 align="center">
    Building a Self-Evolving Ecosystem of AI Agents
</h2>

<div align="center">

[![EvoAgentX Homepage](https://img.shields.io/badge/EvoAgentX-Homepage-blue?logo=homebridge)](https://evoagentx.org/)
[![Do

Comprehensive Python requirements file for ML, NLP, FastAPI, and testing dependencies.

pytest
pytest-cov
pytest-mock
pytest-asyncio
pytest-subtests
pytest-json-report
ruff

sympy
stopit
scipy
setuptools
tree_sitter
tree_sitter_python
antlr4-python3-runtime==4.11
tenacity
networkx>=3.3
nltk>=3.9.1
numpy>=1.26.4
openai>=1.55.3
litellm>=1.55.6

pydantic>=2.9.0,<=2.10.6
pydantic-settings==2.8.1
pydantic_core>=2.23.2,<=2.27.2
loguru>=0.7.3 
pandas>=2.2.3
matplotlib>=3.10.0
# --extra-inde

Streamlit app using GPT-5 and Exa to automate B2B outreach: finds companies, contacts, researches insights, drafts emails.

### AI Email GTM Outreach Agent

### 🎓 FREE Step-by-Step Tutorial 
**👉 [Click here to follow our complete step-by-step tutorial](https://www.theunwindai.com/p/build-an-ai-email-gtm-outreach-agent-team) and learn how to build this from scratch with detailed code walkthroughs, explanations, and best practices.**

An end-to-end, multi-agent Streamlit app that automates B2B outreach using GPT-5 and Ex