AI Agent-Based Projects

Overview

This repository contains three AI-powered agent-based projects leveraging Autogen, Streamlit, and CrewAI to provide interactive AI experiences. These projects include:

1. Autogen - An AI agent framework for coding and theoretical problem-solving.
2. Autogen UI - A Streamlit-based UI for user-friendly AI interactions.
3. CrewAI - A multi-agent system for collaborative task execution.

1. Autogen

Description

Autogen is a Python-based AI assistant that enables automated problem-solving using Conversable Agents. It supports both theoretical discussions and coding tasks using DeepSeek models.

Features

• AI-powered code execution using local environments.
• Conversational AI with predefined agents (Teacher, Student, Code Writer, and Executor).
• Dynamic task selection for coding and theoretical tasks.

Installation

pip install autogen

Usage

Run the script and select the desired task:

python autogen.py

2. Autogen UI

Description

Autogen UI is a Streamlit-based interface for interacting with AI agents in an intuitive way.

Features

• User-friendly UI for AI task selection.
• Theoretical and coding task execution with instant responses.
• Streamlit-powered design for easy interaction.

Installation

pip install streamlit autogen

Running the UI

streamlit run autogen_ui.py

3. CrewAI

Description

CrewAI is a multi-agent AI system designed for collaboration among specialized agents to execute tasks efficiently.

Features

• Agents for coding, teaching, and AI research.
• Uses CrewAI framework for structured agent workflows.
• Integrated search and code execution capabilities.

Installation

pip install crewai langchain_ollama crewai-tools

Running the System

python crewai.py

Requirements

• Python 3.8+
• Autogen
• Streamlit
• CrewAI
• LangChain
• Ollama API

Contributing

Contributions are welcome! Feel free to submit a pull request or raise an issue.