AI Agents

Agent frameworks are the plumbing underneath a lot of the flashier AI products, not something most people touch directly unless they're building one. LangGraph, AutoGen, and CrewAI are the developer libraries, used to define how multiple agents hand off tasks and share memory inside your own application. The OpenAI Agents SDK and the Claude Agent SDK are the vendor specific versions of the same idea, tied to one model provider's tools and hosting. n8n, Dify, and Flowise take a different approach, visual builders that let you wire up an agent's steps without writing much code, popular for internal automations and support workflows. Model Context Protocol has become the connective layer several of these now support, letting an agent reach outside tools and data sources through one standard interface instead of a custom integration for each.

If you're building something in house, framework choice tracks your language of choice as much as anything else. If you want to prototype an automation without a dev team, start with the no code end. Compare them below.