Top 7 Frameworks for Building Production Grade AI Agents in 2025

Artificial intelligence has seen a surge in AI agents — autonomous software entities that perceive environments, make decisions, and act to achieve goals. These agents, with advanced planning and reasoning capabilities, go beyond traditional reinforcement learning models. Building them requires AI agent frameworks. This article explores the top 7 frameworks for creating AI agents. Central to modern AI agents are agentic AI systems, which combine large language models (LLMs), tools, and prompts to perform complex tasks. LLM act as the “brain,” handling natural language understanding and generation. Tools enable interaction with external resources or APIs, while prompts guide the LLM’s actions and reasoning. Together, these components form the foundation of advanced AI agents.

What are AI Agent Frameworks?

AI agent frameworks are software platforms designed to simplify creating, deploying, and managing AI agents. These frameworks provide developers with pre-built components, abstractions, and tools that streamline the development of complex AI systems. By offering standardized approaches to common challenges in AI agent development, these frameworks enable developers to focus on the unique aspects of their applications rather than reinventing the wheel for each project.