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Simple agents are focused, production-ready applications that solve specific problems. Each project demonstrates a complete use case with a clear purpose and user interface.

What Makes Them Simple?

Single Purpose

Each agent focuses on one primary task or workflow

Complete Solutions

Production-ready with UI, error handling, and documentation

Real-World Use Cases

Solve actual problems you can deploy immediately

Easy to Customize

Well-structured code that’s easy to modify for your needs

All Simple Agent Projects

Browser Agent

Web automation using browser-use library for natural language browser control and task execution.

Cal Scheduling Agent

Calendar management assistant with Cal.com integration for booking, rescheduling, and timezone handling.

Email to Calendar Scheduler

Smart Gmail reader that filters important emails and automatically manages Google Calendar events.

Finance Agent

Real-time stock data and financial analysis with YFinance tools and interactive web playground.

LLM Router

Intelligent chat app using RouteLLM to automatically route queries between cost-effective and high-performance models.

Newsletter Agent

AI-powered newsletter generator using Firecrawl for research and Agno for content creation with markdown export.

Talk to DB

Natural language database queries translating plain English to SQL with AI-generated insights and query history.

Use Case Categories

Automation & Productivity

  • Browser Agent - Web automation
  • Email to Calendar Scheduler - Email processing
  • Cal Scheduling Agent - Calendar management

Financial Analysis

  • Finance Agent - Stock analysis

Content Creation

  • Newsletter Generator - Newsletter generation
  • Database Chat - Database queries

Communication

  • LLM Router - Cost-optimized routing

Key Features

Simple agents typically include:
  • Streamlit or web UI for user interaction
  • API integrations with external services
  • Persistent storage for data and sessions
  • Error handling and validation
  • Configuration management via environment variables

Getting Started

1

Choose Your Use Case

Select an agent that matches your needs or interests
2

Set Up Environment

Install dependencies and configure API keys
3

Run the Application

Start the agent and explore its capabilities
4

Customize for Your Needs

Modify the agent to fit your specific requirements

Next Steps

Add Memory

Give your agents persistent memory for context retention

Integrate External Tools

Connect to databases and external services with MCP

Build Complex Systems

Create multi-agent workflows for sophisticated tasks

Build docs developers (and LLMs) love