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https://github.com/mahawi1992/letta-deepseek

Advanced multi-agent system built with Letta AI and DeepSeek, featuring memory optimization and Lightning AI deployment.
https://github.com/mahawi1992/letta-deepseek

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Advanced multi-agent system built with Letta AI and DeepSeek, featuring memory optimization and Lightning AI deployment.

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# Letta DeepSeek Multi-Agent System

Advanced multi-agent system built with Letta AI and DeepSeek, featuring memory optimization and Lightning AI deployment.

## Features

- 🧠 Advanced Memory Management
- Memory optimization
- Documentation storage
- Pattern recognition
- Knowledge accumulation

- 🤖 Multi-Agent System
- Research Agent with Tavily integration
- Coding Agent with DeepSeek
- Documentation Agent
- Orchestrator for coordination

- 📚 Continuous Learning
- Memory optimization
- Pattern extraction
- Best practices learning
- Success tracking

## Installation

1. Clone the repository
2. Create virtual environment:
```bash
python -m venv venv
source venv/bin/activate # Linux/Mac
.\venv\Scripts\activate # Windows
```

3. Install dependencies:
```bash
pip install -r requirements.txt
```

4. Configure environment variables:
```bash
cp .env.example .env
# Edit .env with your API keys
```

## Deployment

See [deployment guide](docs/deployment.md) for Lightning AI deployment instructions.

## Documentation

- [Deployment Guide](docs/deployment.md)
- [Enhanced Features](docs/enhanced_features.md)
- [Memory System](docs/memory.md)

## License

MIT License