AI agent SDKs, platforms & frameworks

The agent layer of the AI stack — from SDKs you ship in code (OpenAI, Claude) to no-code platforms (Lindy, Dify) and orchestration frameworks (LangChain, CrewAI). Each review covers pricing, lock-in, and what you should pair it with.

AutoGen

framework open-source

Microsoft's open-source multi-agent framework — conversation-driven orchestration with deep Azure / OpenAI integration.

Claude Agent SDK

sdk free

Build agents with tool use, computer use, MCP, and Anthropic's safety primitives — Python and TypeScript.

CrewAI

framework open-source

OSS framework for orchestrating role-playing AI agents that collaborate on complex tasks — Python-first.

Dify

platform freemium

Open-source platform for agentic AI apps — RAG pipelines, agent workflows, and model management in one stack.

Flowise

platform open-source

Lightweight open-source visual builder for LLM agents and chatflows — Node.js-native, fast canvas, self-hostable.

LangChain

framework open-source

Leading OSS framework for LLM-powered agents and stateful multi-step workflows — Python and JS, with LangGraph for orchestration.

Langflow

platform open-source

Open-source visual builder for LangChain-style agents and RAG flows — drag-and-drop, Python-native, self-hostable.

Lindy

no-code freemium

Custom AI assistants for sales, support, and ops — no-code agents that handle email, meetings, and calls 24/7.

OpenAI Agents SDK

sdk free

Lightweight framework for multi-agent workflows with handoffs, guardrails, and tool calls — Python and TypeScript.