AI Agent Frameworks and examples

What is a framework?

A framework is a basic, supporting structure or system used as a foundation to build, guide, or support something 

 what is a framework in ai agent framework? 

An AI agent framework is a pre-built software foundation that provides the essential tools, libraries, and architecture needed to build, deploy, and manage autonomous AI agents 

What are the different types of frameworks available? 

Agentic AI frameworks fall into three main categories: Multi-Agent Orchestration (agents collaborating), Stateful Workflows (step-by-step reasoning), and Enterprise SDKs. 

 

Top AI Agent Frameworks (Examples)

1. LangGraph: The default standard for complex, stateful AI workflows. It excels at granular state control and long-running agent tasks.
2. CrewAI: A leader in role-based multi-agent collaboration. Agents can work together seamlessly, each with specific goals and expertise.
3. AutoGen: An event-driven, multi-agent conversational framework from Microsoft, best for research-grade or complex collaborative systems.
4. LlamaIndex: Best for document-centric retrieval-augmented generation (RAG) agents that require traversing and summarizing massive datasets.
5. PydanticAI: A type-safe Python framework designed to feel just like standard Python development, minimizing runtime errors.
6. Smolagents: A minimalist code-agent framework from Hugging Face designed for simplicity and direct Python action execution