Meta Agents

A powerful framework for building intelligent meta-agent systems.

Features

• 🤖 Easy-to-use Agent abstraction
• 🎯 Agent configuration and management
• 🔄 Multi-agent coordination
• 📊 Task execution history
• 🛠️ Extensible architecture

Installation

pip install meta-agent-kit

Quick Start

Basic Agent Usage

from meta_agent import Agent, AgentConfig

# Create an agent
config = AgentConfig(
    name="assistant",
    model="gpt-4",
    temperature=0.7
)
agent = Agent(config)

# Execute a task
result = agent.execute("Analyze this data")
print(result)

# View history
history = agent.get_history()

Multi-Agent Management

from meta_agent import Agent, AgentConfig, AgentManager

# Create a manager
manager = AgentManager()

# Add multiple agents
agent1 = Agent(AgentConfig(name="researcher", model="gpt-4"))
agent2 = Agent(AgentConfig(name="writer", model="gpt-3.5-turbo"))

manager.add_agent(agent1)
manager.add_agent(agent2)

# Execute tasks
result1 = manager.execute_task("researcher", "Research topic X")
result2 = manager.execute_task("writer", "Write a summary")

# Broadcast to all agents
results = manager.broadcast_task("Common task for all")

Configuration

AgentConfig Options

• name (str): Agent name identifier
• model (str): Model to use (default: "gpt-4")
• temperature (float): Temperature setting (default: 0.7)
• max_tokens (int): Maximum tokens (default: 2000)
• system_prompt (str, optional): System prompt
• tools (List[str], optional): Available tools

Development

Setup Development Environment

# Clone the repository
git clone https://github.com/yourusername/meta-agent-kit.git
cd meta-agent-kit

# Install in development mode
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black meta_agents/

# Type checking
mypy meta_agents/

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

• 📧 Email: your.email@example.com
• 🐛 Issues: GitHub Issues
• 📖 Documentation: GitHub Wiki

Roadmap

• Add more agent types
• Implement tool integration
• Add async support
• Enhanced logging and monitoring
• Web UI for agent management

Changelog

0.1.0 (Initial Release)

• Basic Agent implementation
• AgentConfig for configuration
• AgentManager for multi-agent coordination
• Execution history tracking