LLM-Agents-Ecosystem-Handbook

This handbook provides a production-oriented guide for building, evaluating, securing, and deploying modern LLM agent systems. It covers the entire agent stack, including concepts, provider and skill ecosystems, prompt engineering, memory, safety, and observability, along with templates and runnable examples.

LLM-Agents-Ecosystem-Handbook sits in the LLM Infra category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Comprehensive Agent Stack Concepts and Design Guides. A representative use case is Designing and building LLM agent systems from scratch. The listed license is MIT. GitHub stars are currently 555. Relevant tags include LLM Agents, System Design.