AI Agent Communication Protocols: The Missing Link in Intelligent Collaboration?

AI Agent Communication Protocols: Building the Universal Language for Intelligent Collaboration Image Source: Unsplash (CC0 License) 1. Technical Foundations: The Architecture of AI Collaboration 1.1 Core Components of LLM-Based AI Agents Modern Large Language Models (LLMs) like GPT-4 are equipped with: Cognitive Engine: Neural networks with 175 billion parameters for semantic understanding Dynamic Memory: Dual-layer storage combining short-term memory caches and knowledge graphs Tool Integration: REST API calls with average latency <200ms (tested on AWS Lambda) A typical LLM agent architecture: class LLMAgent: def __init__(self, model=”gpt-4″): self.llm_core = load_model(model) self.memory = VectorDatabase(dim=1536) self.tools = ToolRegistry() 1.2 Current Communication Bottlenecks Three …