AI Agent Frameworks

AI agent frameworks are developer tools and libraries that provide the scaffolding for building, testing, and deploying AI agents. Examples include LangChain, CrewAI, AutoGen, and custom orchestration layers. They typically handle the agent loop (observe → think → act → observe), tool integration, memory management, and multi-agent coordination. The framework you choose shapes what your agents can do, how they fail, and how hard they are to debug.