Research Report 5.1: Agent Communication Protocols
The invisible nervous system connecting AI agents determines whether your multi-agent system scales or collapses under its own coordination overhead
A technical deep dive into the message passing protocols, communication patterns, and synchronization mechanisms that enable multiple LLM agents to coordinate effectively - covering AutoGen, LangGraph, CrewAI architectures alongside gRPC, message queues, and the Model Context Protocol.
Also connected to
Splitting a complex task across multiple agents sounds straightforward until you realize that how you decompose the work determines whether your agents collaborate or collide
The agent that turns plans into code - executing task by task, committing atomically, handling deviations on the fly, and producing a traceable record of every decision made during implementation
GSD agent that creates executable phase plans with clear objectives, tasks, and success...
How to transform a Claude Max subscription into an orchestrated intelligence network - micro-LLMs handle routing and coordination while Claude focuses exclusively on high-value cognitive work, achieving consultant-grade outcomes without API costs
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