---
type: Glossary Term
title: AI Agent Framework
description: "An AI agent framework is the software foundation developers use to build, run, and operate autonomous AI agents. It packages the recurring building blocks of an"
resource: "https://www.contextstudios.ai/glossary/ai-agent-framework"
category: agentic
language: en
timestamp: "2026-06-22T12:02:49.141Z"
---

# AI Agent Framework

An AI agent framework is the software foundation developers use to build, run, and operate autonomous AI agents. It packages the recurring building blocks of an agent — the connection to a language model, the tool- and function-calling system, memory, the planning-and-loop logic, and multi-step orchestration — into a single, reusable codebase. Rather than rewriting this machinery for every project, teams lean on the framework and focus on what the agent is actually meant to do. Well-known examples range from open-source projects like OpenClaw or Hermes Agent to commercial platforms. A framework defines how an agent thinks through its reasoning loop, how it acts through tool access, and how it carries state across multiple calls. That choice largely determines how maintainable, portable, and secure the agent will be once it reaches production. The framework is distinct from AI agent infrastructure, which describes the underlying runtime, identity, and monitoring layer: the framework is the development scaffolding the agent is built with, while the infrastructure is the operational ground it runs on in production.