Back to glossary AI agent framework
AI agent framework is a comprehensive software architecture that provides standardized tools, libraries, and methodologies for developing, deploying, and managing autonomous artificial intelligence agents. These frameworks establish the foundational components including perception modules, decision-making engines, action execution systems, and communication protocols that enable AI agents to interact with environments and other agents effectively. Modern AI agent frameworks incorporate machine learning pipelines, reinforcement learning algorithms, natural language processing capabilities, and integration APIs that streamline the development process while ensuring scalability, modularity, and interoperability. Popular frameworks like LangChain, AutoGen, and CrewAI provide pre-built templates, debugging tools, and deployment orchestration that accelerate agent development cycles and reduce technical complexity for enterprises implementing autonomous AI solutions.
The LLM Book
The LLM Book explores the world of Artificial Intelligence and Large Language Models, examining their capabilities, technology, and adaptation.
