This repository contains independent AI agent projects, each with its own purpose and dependencies. All agents are designed to be simple, focused, and easy to use. It is basically a collection of small, focused AI agents built with Python. Each agent is designed to solve a specific task using modern AI/LLM technologies.
New AI generated full-stack applications are automatically built daily by the Agent Builder 2.0 and added to the ai-built-agents directory.
Multi agent flows will be added soon
See the ai-built-agents README for the complete list.
Effortlessly organize and prioritize your daily tasks to boost productivity and reduce stress.
Category: productivity
Date: 2026-01-25
π Read the Daily Task Scheduler README
An AI agent that dynamically prioritizes daily tasks based on urgency, importance, and user preferences, helping millions stay organized and stress-free.
Category: productivity
Date: 2026-01-23
π Read the Daily Task Prioritizer README
Helps users maintain optimal hydration levels throughout the day by providing personalized reminders and tips.
Category: health
Date: 2026-01-22
π Read the Daily Hydration Coach README
Helps parents efficiently manage daily tasks and child-related activities, reducing stress and enhancing family well-being.
Category: lifestyle
Date: 2026-01-21
π Read the Parenting Assistant README
An intelligent agent that optimizes home energy usage to reduce costs and environmental impact for everyday households.
Category: lifestyle
Date: 2026-01-20
π Read the Home Energy Saver README
An AI agent that helps individuals stay safe by providing real-time safety alerts and guidance based on their location and context.
Category: safety
Date: 2026-01-19
π Read the Personal Safety Advisor README
Empowers users to optimize daily spending and achieve financial goals with ease.
Category: finance
Date: 2026-01-18
π Read the Daily Expense Optimizer README
An AI agent that provides personalized mental health check-ins to help individuals manage stress and emotions daily.
Category: wellbeing
Date: 2026-01-17
π Read the Mental Health Check-In README
An AI agent that helps families and individuals prepare for natural disasters by creating customized readiness plans.
Category: safety
Date: 2026-01-15
π Read the Disaster Preparedness Planner README
An AI agent that automatically optimizes home energy usage to save money and reduce environmental impact.
Category: lifestyle
Date: 2026-01-14
π Read the Home Energy Optimizer README
Personalized nutrition guidance for healthier eating habits.
Category: health
Date: 2026-01-13
π Read the Nutrition Advisor README
Effortlessly organize and optimize digital files and emails to reduce stress and save time.
Category: productivity
Date: 2026-01-12
π Read the Digital Declutterer README
An AI agent to intelligently structure your day for maximum productivity and balance.
Category: productivity
Date: 2026-01-11
π Read the Daily Time Optimizer README
Effortlessly manage and schedule home maintenance tasks to keep your living space in top condition.
Category: lifestyle
Date: 2026-01-10
π Read the Home Maintenance Scheduler README
Streamline your job search with a dynamic agent that organizes, tracks, and optimizes your application process.
Category: career
Date: 2026-01-09
π Read the Job Application Tracker README
An AI agent that optimizes your sleep environment and routines for better rest and recovery.
Category: health
Date: 2026-01-07
π Read the Sleep Quality Enhancer README
Optimizes daily commute by providing real-time updates and alternative routes to save time and reduce stress.
Category: productivity
Date: 2026-01-06
π Read the Daily Commute Optimizer README
Effortlessly plan nutritious and budget-friendly meals tailored to your dietary needs and preferences.
Category: lifestyle
Date: 2026-01-05
π Read the Daily Meal Optimizer README
Seamlessly organizes social gatherings, making it easy for everyday people to connect and maintain relationships.
Category: communication
Date: 2026-01-03
π Read the Social Scheduler README
Guides individuals in identifying and pursuing optimal career paths based on skills, interests, and market trends.
Category: career
Date: 2026-01-02
π Read the Career Pathfinder README
An AI agent that proactively advises homeowners to enhance their home security, reducing risks of burglaries and intrusions.
Category: safety
Date: 2025-12-31
π Read the Home Security Advisor README
Optimizes grocery shopping and budgeting to reduce waste and save money for everyday families.
Category: lifestyle
Date: 2025-12-30
π Read the Grocery Saver README
A personalized agent that optimizes daily energy levels by recommending activities and rest periods to enhance productivity and well-being.
Category: wellbeing
Date: 2025-12-29
π Read the Daily Energy Manager README
An adaptive agent that personalizes and optimizes exercise routines for everyday individuals to improve fitness and well-being.
Category: health
Date: 2025-12-28
π Read the Exercise Companion README
An assistant that ensures you never miss a dose and keeps track of medication schedules effortlessly.
Category: health
Date: 2025-12-26
π Read the Medication Manager README
Effortlessly manage and track all your bills to avoid late fees and stress.
Category: finance
Date: 2025-12-26
π Read the Bill Tracker README
A planning agent that helps refine mobile app MVP ideas into clear, technical, builder-ready specifications. Generates a comprehensive builder prompt for the MVP Builder Agent.
Features:
- Asks focused clarifying questions
- Generates structured MVP + technical requirements spec
- Outputs builder-ready prompt
- Interactive web UI and CLI
Tech Stack: LangChain, OpenAI API, Streamlit
π Read the MVP Planner Agent README
An AI-powered builder that takes builder prompts and generates complete, working prototypes with modern tech stacks, best practices, and production-ready code.
Features:
- Step-by-step building process
- Uses GPT-4o for high-quality code generation
- Generates architecture and implementation plans
- Creates complete project structures
- Auto-generates documentation
Tech Stack: LangChain, OpenAI API, Streamlit
π Read the MVP Builder Agent README
A local LLM agent that connects to your IMAP inbox, lists unread emails, and provides intelligent summaries. Built with LangGraph and LangChain, running against a local Ollama model.
Features:
- Lists the most recent unread email
- Summarizes emails by IMAP UID
- Interactive CLI interface
- Runs entirely locally (no cloud API required)
Tech Stack: LangGraph, LangChain, Ollama, IMAP
π Read the Email Agent README
A web scraping tool that uses OpenAI's GPT-4o-mini to generate intelligent, readable summaries of any website. Perfect for quickly understanding what a website is about without wading through navigation menus and clutter.
Features:
- Smart URL handling (accepts URLs in any format)
- Content extraction (filters out navigation, headers, scripts)
- AI-powered summaries with a touch of wit
- Terminal-friendly output
Tech Stack: OpenAI API, BeautifulSoup, Requests
π Read the Scraper Agent README
Each agent is independent and can be set up separately. Navigate to the agent's directory and follow its specific README for detailed setup instructions.
- Python 3.12+ (Python 3.13+ for email-agent)
- uv package manager (recommended) or pip
- Agent-specific requirements:
- MVP Planner Agent: OpenAI API key
- MVP Builder Agent: OpenAI API key (GPT-4o recommended)
- Email Agent: Ollama running locally with a compatible model
- Scraper Agent: OpenAI API key
-
Clone or navigate to this repository:
cd ai-projects -
Choose an agent and navigate to its directory:
cd mvp-planner-agent # or mvp-builder-agent, email-agent, scraper-agent
-
Install dependencies:
uv sync
Or with pip:
pip install -r requirements.txt
-
Configure environment variables:
- Create a
.envfile in the agent's directory - Add the required configuration (see each agent's README)
- Create a
-
Run the agent:
python main.py
ai-agents/
βββ mvp-planner-agent/ # MVP planning agent
β βββ main.py # Main entry point
β βββ ui.py # Streamlit web UI
β βββ pyproject.toml # Dependencies
β βββ README.md # Detailed documentation
β βββ .env # Configuration (gitignored)
β
βββ mvp-builder-agent/ # MVP builder agent
β βββ main.py # Main entry point
β βββ ui.py # Streamlit web UI
β βββ pyproject.toml # Dependencies
β βββ README.md # Detailed documentation
β βββ .env # Configuration (gitignored)
β
βββ email-agent/ # Email management agent
β βββ main.py # Main entry point
β βββ pyproject.toml # Dependencies
β βββ README.md # Detailed documentation
β βββ .env # Configuration (gitignored)
β
βββ scraper-agent/ # Web scraping agent
β βββ main.py # Main entry point
β βββ scraper.py # Scraping utilities
β βββ pyproject.toml # Dependencies
β βββ README.md # Detailed documentation
β βββ .env # Configuration (gitignored)
β
βββ README.md # This file
All agents in this repository follow similar patterns:
- Configuration: Environment variables via
.envfiles - Dependencies: Managed with
pyproject.tomlanduv - CLI Interface: Simple, interactive command-line interfaces
- Error Handling: Clear error messages and debugging information
- Documentation: Each agent has its own comprehensive README
When adding a new agent to this repository:
- Create a new directory with a descriptive name (e.g.,
new-agent/) - Include a
README.mdwith:- Description and features
- Installation instructions
- Configuration requirements
- Usage examples
- Use
pyproject.tomlfor dependency management - Add a
.env.examplefile if environment variables are needed - Follow the existing code structure and patterns
Each agent is designed to be independent and self-contained. Feel free to:
- Improve existing agents
- Add new agents
- Fix bugs
- Enhance documentation
Each agent may have its own license. Check individual agent directories for license information.
- All
.envfiles are gitignored for security - Each agent can be used independently
- Agents are designed to be simple and focused on a single task
- Local models (like Ollama) are preferred where possible to reduce API costs