Total Recall

An AI-powered productivity application designed to help users capture, organize, and retrieve their thoughts, tasks, and knowledge through intelligent journaling, conversational AI, and knowledge graph visualization.

Demo Video 🎥

Click here to watch the demo video

🚀 Key Features

• AI-Enhanced Journaling: Write journal entries and let AI automatically extract and create related tasks
• Conversational AI Chat: Engage in natural conversations with an AI assistant that has access to your personal knowledge base
• Knowledge Graph: Visualize connections between your thoughts, tasks, and calendar events
• Task Management: Create and manage todos, optionally linked to journal entries
• Google Calendar Integration: Sync with Google Calendar for seamless scheduling
• Secure Authentication: Google OAuth-based user authentication

🛠️ Technology Stack

Backend

• Python 3.11+ with FastAPI
• PostgreSQL for relational data
• Neo4j for graph database
• Cosdata for vector embeddings and semantic search
• Redis/Valkey for caching and Celery task queue
• Google Gemini AI for natural language processing
• Google Calendar API for calendar integration

Frontend

• Next.js 16 with React 19
• TypeScript for type safety
• Tailwind CSS for styling
• Radix UI for accessible components
• Cytoscape & Sigma for graph visualization

📋 Prerequisites

• Docker and Docker Compose
• Node.js 18+ and npm
• Python 3.11+
• Google Cloud Project with enabled APIs (Calendar, Gemini AI)
• Google OAuth credentials

🚀 Getting Started

1. Clone the Repository

git clone <repository-url>
cd total-recall

2. Environment Setup

Copy the example environment files and configure your settings:

# Backend environment
cp apps/backend/.env.example apps/backend/.env

# Infra environment
cp infra/.env.example infra/.env

Edit the .env files with your configuration:

Required Environment Variables:

# Database
POSTGRES_USER=your_postgres_user
POSTGRES_PASSWORD=your_postgres_password
POSTGRES_DB=total_recall
DATABASE_URL=postgresql://user:password@localhost:5432/total_recall
AUTH_DATABASE_URL=postgresql://user:password@localhost:5432/total_recall

# Google OAuth
GOOGLE_CLIENT_ID=your_google_client_id
GOOGLE_CLIENT_SECRET=your_google_client_secret

# AI Services
GEMINI_API_KEY=your_gemini_api_key
GOOGLE_API_KEY=your_google_api_key

# Neo4j
NEO4J_USER=neo4j
NEO4J_PASSWORD=your_neo4j_password

# Cosdata
COSDATA_HOST=localhost
COSDATA_PORT=50051

3. Start Infrastructure Services

cd infra
docker-compose up -d

This will start PostgreSQL, Neo4j, Cosdata, and Redis services.

4. Backend Setup

cd apps/backend

# Install dependencies (using uv for faster installs)
pip install uv
uv sync

# Run database migrations
alembic upgrade head

# Start the backend server
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

The API will be available at http://localhost:8000 with documentation at http://localhost:8000/docs.

5. Frontend Setup

cd apps/web

# Install dependencies
npm install

# Start development server
npm run dev

Open http://localhost:3000 in your browser.

📖 Usage

1. Sign Up/Login: Use Google OAuth to create an account
2. Create Journal Entries: Write your thoughts and let AI extract actionable tasks
3. Manage Tasks: View and complete todos generated from your journals
4. Chat with AI: Ask questions about your knowledge base
5. Explore Knowledge Graph: Visualize connections between your data
6. Calendar Integration: Sync events and schedule based on your insights

🏗️ Project Structure

total-recall/
├── apps/
│   ├── backend/          # FastAPI backend application
│   │   ├── app/
│   │   │   ├── api/      # API routes
│   │   │   ├── core/     # Configuration and utilities
│   │   │   ├── models/   # Database models
│   │   │   ├── schemas/  # Pydantic schemas
│   │   │   ├── services/ # Business logic
│   │   │   └── tasks/    # Celery background tasks
│   │   └── alembic/      # Database migrations
│   └── web/              # Next.js frontend application
├── infra/                # Infrastructure configuration
│   └── docker-compose.yaml
└── README.md

🤝 Contributing

This is a hackathon project. Contributions are welcome! Please feel free to submit issues and pull requests.