MLP-25: Financial Research Agent System

A multi-agent AI system for gathering, validating, and storing financial data.

Project Overview:

Currently building the Research Agent by spliting it up into subagents.

Team Structure

• Query Agent: Arin
• Source Finder & Fetcher: Casper
• Validator: Gregory
• Storage: Caedy
• Summarizer: Steven

Getting Started

Prerequisites

• Python 3.9+
• Redis (for caching)
• MongoDB (for storage)

Installation

1. Clone the repository:

git clone https://github.com/yourusername/research-agent.git
cd research-agent

2. Create virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables:

cp .env .env
# Edit .env with your API keys

Development Workflow

1. Create your feature branch:

git checkout -b feature/your-agent-name

2. Implement your agent in the agents/your_agent/ directory

3. Write tests in tests/

4. Run tests:

pytest tests/

5. Commit and push:

git add .
git commit -m "[AGENT_NAME] Description of changes"
git push origin feature/your-agent-name

6. Create Pull Request on GitHub

Project Structure