# 🧠 Antigravity Brain - Enterprise AI Crew System

A modular **CrewAI** application with shared memory, 26 specialized AI agents, and a web interface powered by **Chainlit**.

![Python](https://img.shields.io/badge/Python-3.11+-blue)
![CrewAI](https://img.shields.io/badge/CrewAI-0.80+-green)
![Docker](https://img.shields.io/badge/Docker-Ready-blue)
![License](https://img.shields.io/badge/License-Private-red)

## 🚀 Features

- **26 Specialized AI Agents** - From infrastructure (Arthur Mendes, Gus Fring) to sales (Ari Gold, Don Draper) to crisis management (Olivia Pope, Saul Goodman)
- **Shared Memory** - Agents share knowledge via Mem0 + Qdrant vector database
- **Smart Routing** - Automatic request classification to the appropriate crew
- **Multi-Provider LLM Support** - Works with Gemini, OpenAI, Anthropic, or local Ollama
- **Web Interface** - Beautiful chat UI powered by Chainlit
- **Docker Ready** - One-command deployment with docker-compose

## 📁 Project Structure

```
minions-da-itguys/
├── src/
│   ├── app.py                 # Chainlit entry point
│   ├── config.py              # LLM & Memory configuration
│   ├── router.py              # Smart request routing
│   ├── agents/
│   │   ├── factory.py         # Agent instantiation
│   │   └── personas/          # 26 agent personality files (.md)
│   ├── crews/
│   │   └── definitions.py     # Crew assembly logic
│   ├── knowledge/
│   │   └── standards/         # Corporate knowledge base
│   ├── memory/
│   │   └── wrapper.py         # Mem0 integration with rate limiting
│   └── tools/                 # Custom tools (Zabbix, Evolution, etc.)
├── docker-compose.yml         # Container orchestration
├── Dockerfile                 # App container
├── requirements.txt           # Python dependencies
└── .env                       # API keys & configuration
```

## 🛠️ Installation

### Prerequisites
- Docker & Docker Compose
- Python 3.11+ (for local development)
- Gemini/OpenAI API Key

### Quick Start (Docker)

```bash
# 1. Clone the repository
git clone https://github.com/your-org/minions-da-itguys.git
cd minions-da-itguys

# 2. Configure environment
cp .env.example .env
# Edit .env with your API keys

# 3. Start the application
docker-compose up -d

# 4. Access the web interface
open http://localhost:8000
```

### Local Development

```bash
# Install dependencies
pip install -r requirements.txt

# Run Chainlit
chainlit run src/app.py --port 8000
```

## ⚙️ Configuration

Edit `.env` to configure the AI backend:

```env
# LLM Provider: gemini, openai, anthropic, ollama
LLM_PROVIDER=gemini
LLM_MODEL_FAST=gemini-2.5-flash-lite-preview-06-17
LLM_MODEL_SMART=gemini-2.5-flash-lite-preview-06-17
GEMINI_API_KEY=your-api-key

# Memory: qdrant (local) or mem0 (cloud)
MEMORY_PROVIDER=qdrant
MEMORY_EMBEDDING_PROVIDER=local
```

## 🤖 Available Crews

| Crew | Agents | Purpose |
|------|--------|---------|
| **Infra Engineering** | Arthur Mendes, Gus Fring | Zabbix templates, monitoring |
| **Security Audit** | Elliot Alderson, Devil | Vulnerability assessment |
| **HR & Evolution** | The Architect, Sherlock | Create agents, learn policies |
| **Sales Growth** | Ari Gold, Chris Gardner, Don Draper | Pipeline management |
| **Business Strategy** | Harvey Specter, Kevin O'Leary | Compliance, ROI analysis |

## 🧪 Usage Examples

```
User: "Validate this Zabbix template"
→ Routes to: Infra Engineering (Zabbix)
→ Arthur validates YAML, fixes UUIDs, Gus reviews

User: "Create a new agent named Bob for DevOps"
→ Routes to: HR & Evolution
→ The Architect spawns new persona file

User: "Analyze security of our login page"
→ Routes to: Security Audit
→ Elliot performs reconnaissance
```

## 📦 Dependencies

- `crewai` - Multi-agent orchestration
- `chainlit` - Web UI
- `mem0ai` - Shared memory
- `qdrant-client` - Vector database
- `litellm` - Multi-provider LLM support
- `sentence-transformers` - Local embeddings

## 🔒 Security Notes

- Never commit `.env` with real API keys
- The `.env.example` contains safe placeholder values
- Memory is persisted in Docker volume `qdrant_data`

## 📝 License

Private - ITGuys Internal Use Only

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