Agentic AI Knowledge Base
A structured knowledge repository covering the full lifecycle of building and operating agentic AI systems, from architecture patterns and development frameworks to security, governance and operations.
The Agentic AI Knowledge Base consolidates curated articles, architecture patterns, research references and industry practices for building, deploying and operating agentic AI systems at scale. It is organized into eighteen sections that move from foundational concepts and agent-harness design through architecture and design patterns, multi-agent coordination, and coverage of fifteen major development frameworks, including LangChain and LangGraph, Google's Agent Development Kit, AWS Strands Agents and Microsoft's Agent Framework.
It is aimed at architects, engineers, researchers and platform teams who need a single reference spanning agent definitions and types, industry design patterns such as the twelve-factor agent principles, and further sections on evaluation, security frameworks, and operational best practices for running agentic systems in production.