AI Agent Framework

A software library that provides the scaffolding for building AI agents—including tool use, memory management, planning loops, and orchestration. Frameworks abstract away low-level LLM interactions so developers can focus on business logic: the framework handles the observe-think-act loop while you define which tools the agent can call and what guardrails apply. Under the hood they reduce to three execution models — Graph-Based Orchestration (you draw the control flow, e.g. LangGraph), role-based crews (you define roles and a coordinator orchestrates, e.g. CrewAI), and handoff (agents pass control to each other, e.g. the OpenAI Agents SDK). The 2026 field consolidated around five production choices: LangGraph, CrewAI, the OpenAI Agents SDK, Google ADK, and the Microsoft Agent Framework (the GA'd merger of AutoGen and Semantic Kernel). Pick by the shape of your workload and your model/cloud commitments, not by popularity — and remember you may not need a framework at all for a single agent with a couple of tools.