🤖 Diaa Zellagui Personal Agent

A sophisticated AI-powered personal assistant built with LangGraph that serves as an intelligent representative for my professional profile. The agent can dynamically retrieve and present information about Diaa's GitHub projects, skills, repositories, and professional background through natural language conversations.

✨ Features

• 🧠 Conversational Memory – which help remembers context.

• 🔧 LangChain Tool Integration:

  • Fetch Diaa Zellagui’s GitHub repositories.

  • Retrieve repository READMEs.

  • Fetch GitHub profile README.

  • Get GitHub stats & pinned repos (via GraphQL API).

  • ⚡ CLI-first – no API server needed.

📂 Project Structure

.

├── src/
   ├── tools/
        ├── github_tools.py               # Custom tools (GitHub tools)
    ├── memory.py            # Memory & summarization logic
    ├── agent.py             # LangGraph agent setup
    ├── notebook.ipynb              # Jupyter notebook for experimentation
    ├── main.py               # CLI entrypoint
├── requirements.txt     # Python dependencies
├── .env                 # Environment variables
└── README.md            # Documentation

🚀 Getting Started

• 1. Clone the repo

git clone https://github.com/diaazg/Personnel_chatbot.git

• 2. Create a virtual environment and Install dependencies

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

• 3. Create .env file with your credentials

nano .env
MODEL=...
BASE_URL=...
API_KEY=... # your LLM API key 

THREAD_ID=default

GITHUB_USERNAME = "diaazg"
GITHUB_TOKEN = # your GitHub token

• 4. Run the agent

python ./src/main.py