seawolf's picture

seawolf PRO

seawolf2357

·

AI & ML interests

None yet

Recent Activity

updated a Space about 22 hours ago

seawolf2357/rapidapi1

published a Space about 22 hours ago

seawolf2357/rapidapi1

reacted to openfree's post with 🧠 2 days ago

Agentic AI Era: Analyzing MCP vs MCO 🚀 Hello everyone! With the rapid advancement of AI agent technology, two architectures have come into the spotlight: MCP (Model Context Protocol) and MCO (Model Context Open-json). Today, we’ll introduce the key features and differences of these two approaches. https://huggingface.co/spaces/VIDraft/Agentic-AI-CHAT MCP: The Traditional Approach 🏛️ Centralized Function Registry: All functions are hardcoded into the core system. Static Function Definitions & Tight Coupling: New features require changes to the core application code, limiting scalability. Monolithic Design: Complex deployment and version management can cause a single error to affect the whole system. Code Example: '''py FUNCTION_REGISTRY = { "existing_function": existing_function, "new_function": new_function # Adding a new function } ''' MCO: A Revolutionary Approach 🆕 JSON-based Function Definitions: Function details are stored in external JSON files, enabling dynamic module loading. Loose Coupling & Microservices: Each function can be developed, tested, and deployed as an independent module. Flexible Scalability: Add new features by simply updating the JSON and module files, without modifying the core system. JSON Example: [ { "name": "analyze_sentiment", "module_path": "nlp_tools", "func_name_in_module": "sentiment_analysis", "example_usage": "analyze_sentiment(text=\"I love this product!\")" } ] Why MCO? 💡 Enhanced Development Efficiency: Developers can focus on their own modules with independent testing and deployment. Simplified Error Management: Errors remain confined within their modules, enabling quick hotfixes. Future-Proofing: With potential features like remote function calls (RPC), access control, auto-documentation, and a function marketplace, MCO paves the way for rapid innovation. Practical Use & Community 🤝 The MCO implementation has been successfully tested on Vidraft’s LLM (based on Google Gemma-3)

View all activity

Organizations

seawolf2357's activity

New activity in seawolf2357/hanbok 4 months ago

Add generated example

#2 opened 4 months ago by

New activity in VIDraft/mouse1 5 months ago

Welcome!!!

#1 opened 5 months ago by

New activity in fantos/EveryText 8 months ago

HELLO WORLD!

#1 opened 8 months ago by

New activity in seawolf2357/video 11 months ago

Upload requirements.txt

#1 opened 11 months ago by

New activity in seawolf2357/msVision_3 about 1 year ago

Upload 2 files

#1 opened about 1 year ago by