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    autoteam

    autoteam

    diazoxide July 26, 2025
    39 copies 0 downloads

    Orchestrate AI agents with YAML-driven workflows via universal Model Context Protocol (MCP)

    Agent Definition
    # AutoTeam 🤖
    
    <div align="center">
    
    [![Go Version](https://img.shields.io/badge/go-1.21+-blue.svg)](https://golang.org)
    [![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
    [![GitHub Stars](https://img.shields.io/github/stars/diazoxide/autoteam)](https://github.com/diazoxide/autoteam/stargazers)
    [![Docker Pulls](https://img.shields.io/docker/pulls/diazoxide/autoteam)](https://hub.docker.com/r/diazoxide/autoteam)
    
    **Universal AI Agent Orchestration Platform powered by Model Context Protocol (MCP)**
    
    [Documentation](docs/) • [Installation](docs/installation.md) • [Configuration](docs/configuration.md) • [Examples](examples/) • [Contributing](#contributing)
    
    </div>
    
    ---
    
    AutoTeam is a platform-agnostic orchestration system that connects AI agents with any service through MCP servers. Think of it as an **MCP hub** that enables intelligent workflows across platforms, databases, APIs, and services.
    
    ## 🎯 What is AutoTeam?
    
    AutoTeam orchestrates AI agents (Claude Code, Gemini CLI, Qwen Code, and more) to work autonomously across any platform that supports MCP. The agent list is fully extensible - add any AI tool that fits your needs. Instead of building custom integrations, you configure MCP servers and let intelligent agents handle complex, multi-platform workflows.
    
    ### Why AutoTeam?
    
    - 🚀 **10x Productivity**: Teams report handling 5-10x more routine tasks
    - 🔗 **Universal Integration**: Connect any MCP-enabled service without custom code
    - 🤝 **True Collaboration**: AI agents work in parallel, like real team members
    - 📈 **Scalable Architecture**: Add agents and services as your needs grow
    - 🛡️ **Enterprise Ready**: Container-native with full security isolation
    
    ## 👥 Scale Your Team with Virtual Workers
    
    Transform your development workflow by adding AI agents as virtual team members. Each agent specializes in different roles and works in parallel, dramatically scaling your team's capacity:
    
    ```mermaid
    graph TB
        subgraph "Virtual Development 

    Tags

    agentsaiaiagentchatgptclaudegeminigithubmcpopenaiorchestration

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