Cognitive Agent Project

Overview

This project builds a cognitive AI agent capable of:

• Conversational interaction with memory,
• Using external tools (e.g., Wikipedia search, Time retrieval),
• Reasoning over knowledge and chaining multiple steps,
• Retrieving external knowledge using RAG techniques.

The design is modular and extensible for various intelligent agent applications.

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Features

• Conversational AI with context memory
• Tool integration and execution
• Structured prompt templates for controlled behavior
• Chain-of-Thought and multi-step reasoning
• Retrieval-Augmented Generation (RAG) modules
• Model-agnostic (OpenAI, custom LLMs, etc.)
• Modular and extensible folder structure

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Getting Started

1. Clone the repository:

   git clone <repository_url>
   cd <repository_name>

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate    # Linux/macOS
   venv\Scripts\activate     # Windows

3. Install the dependencies:

   pip install -r requirements.txt

4. Set environment variables:
   Create a .env file and add your API keys:

   OPENAI_API_KEY=your-openai-api-key
   

5. Run the application:

   python main.py

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Tech Stack

• Python 3.9+
• LangChain
• OpenAI API
• Wikipedia API
• Custom Tools
• Retrieval-Augmented Generation (RAG)
• Large Language models (LLM)

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References

• LangChain Documentation
• OpenAI API Documentation
• Wikipedia Python Library
• AI with Brandon - Cognitive Agents Tutorial (YouTube)

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