What are agent frameworks, and what do they provide?

What a framework does

An agent framework is software that handles the repetitive plumbing of building an agent: running the loop, managing tool calls, tracking state, and logging what happened. The aim is to let a builder focus on the task and tools rather than rewriting the control logic each time.

Common building blocks

Most frameworks provide a way to define tools, a loop or graph that decides the order of steps, a place to store state, and hooks for logging and testing. Some favor a simple loop, others a more structured graph of steps. The right choice depends on how complex and auditable the workflow needs to be.

Choosing without lock-in

Because this area changes quickly, many teams keep their tool definitions and prompts separate from any one framework, so they can switch later. Treating the framework as replaceable plumbing, rather than the core of the system, tends to age better.

This article is general educational information, not technical, legal or business advice. AI agent capabilities, tools and costs change quickly, so verify current details and check important output before relying on it.