From Chatty LLM Agents to Governable Systems: An Architectural Guide
This article provides a comprehensive guide to LLM agents and multi-agent systems, covering strategies from ReAct to graphs, durable execution, sandboxing, memory, evals, and security in production. It helps developers understand when a single agent suffices, when multiple agents are beneficial, and how to choose minimal viable architectures. The guide emphasizes that modern agent systems are multi-layered stacks rather than single libraries.
OpenAI
Google/DeepMind
Microsoft
Anthropic
LangChain
Mastra
CrewAI
KaibanJS
Habr — хаб ИИ08.08 · 13:02
