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ZMCP - Full-Stack AI Framework

⚠️ Early Development Notice: This is a placeholder release to secure the package namespace. The full implementation is coming soon!

🎯 What is ZMCP?

ZMCP (Zorg Meta Computing Protocol) is a full-stack AI framework for building enterprise AI applications. It provides developers with a unified, fluent API for creating everything from simple chatbots to complex multi-agent workflows.

Key Features (Coming Soon):

  • 🤖 Multi-Agent Orchestration: Coordinate multiple AI agents seamlessly
  • 🛠️ Rich Tool Ecosystem: Built-in and custom tools with type safety
  • 🌐 Web Framework Integration: FastAPI, Flask, Django adapters
  • 🔗 MCP Protocol Support: Connect to the Model Context Protocol ecosystem
  • 💾 Persistent State Management: Robust context and memory systems
  • Progressive Complexity: Start simple, scale to enterprise

🚀 Quick Start (Placeholder)

pip install zmcp
from zmcp import workflow, agent, tool, Context

# This is a placeholder - full API coming soon!
@tool("calculator")
def calculate(expression: str) -> float:
    return eval(expression)

@agent("assistant")
def chat_agent(ctx: Context) -> Context:
    return ctx.set("response", "Hello from ZMCP!")

pipeline = (workflow("hello_world")
           .start_with("chat")
           .agent("chat", chat_agent)
           .build())

result = pipeline.run(Context(message="Hello"))
print(result.get("response"))  # "Hello from ZMCP!"

📋 Roadmap

Q3 2024: Core framework implementation Q4 2024: Web integration and MCP support Q1 2025: Enterprise features and scaling

🏢 About Octallium

ZMCP is developed by Octallium Inc, building infrastructure for humanity's next computing paradigm. 📚 Links

Documentation: https://zmcp-python.zpkg.ai (coming soon) Community: https://zpkg.ai (coming soon) GitHub: https://github.com/octallium/zmcp-python Issues: https://github.com/octallium/zmcp-python/issues

📄 License MIT License - see LICENSE file for details.

Stay tuned for the full release! 🚀

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