Agent frameworks provide the structure needed to build, manage, and orchestrate AI agents. They offer abstractions that help developers define how an agent thinks (planning), remembers (memory), and acts (tool execution). Popular agentic frameworks include LangChain and CrewAI.

‍Why is agent framework important?

An agent framework provides easy interfaces for tool use, planning, memory, and action execution. They simply the complexity of agentic systems to make it easier to build scalable, autonomous applications. Here is a comparison of agentic frameworks, published by LangChain.