⚠️ Early Development Notice: This is a placeholder release to secure the package namespace. The full implementation is coming soon!
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
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!"
Q3 2024: Core framework implementation Q4 2024: Web integration and MCP support Q1 2025: Enterprise features and scaling
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! 🚀