There are numerous open-source agentic frameworks available, including LangGraph, Agno, SmolAgents, Mastra, Pydantic AI, and Atomic Agents.
These frameworks are compared to CrewAI and AutoGen, with a focus on their functionality, design choices, and differences.
Agentic AI involves building systems around LLMs (Large Language Models) to enable accurate knowledge, data access, and the ability to act using natural language.
While natural language processing has been used for years in data extraction and processing, the new aspect is empowering LLMs with the capability to handle ambiguity and make dynamic decisions.