AI Agent Frameworks, Compared
Side-by-side comparison of 15 AI agent frameworks. Filter by use case (RAG, multi-agent, structured output) and language (Python, TypeScript, .NET). Data last reviewed 2026-10-05.
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LangGraph
Agent Orchestration Framework for Reliable AI Agents — balance agent control with agency for complex task automation.
CrewAI
The Enterprise Agent Build & Runtime for the work your business runs on.
AutoGen
A framework for building AI agents and applications
Pydantic AI
How Python does AI. Agents, realtime voice, image generation, embeddings. Every model, every interface, typed end to end.
OpenAI Agents SDK
A lightweight, powerful framework for multi-agent workflows with handoffs, guardrails, and built-in tracing.
Mastra
Ship AI agents that reason, remember, and act in TypeScript.
Vercel AI SDK
TypeScript SDK with streaming UI primitives and provider abstraction.
LangChain
The open agent platform to own your intelligence
LlamaIndex
Data-first framework. Strongest for RAG and structured data agent.
Haystack
Open-source AI orchestration for production-grade agents. Modular pipelines with built-in logging and cloud-agnostic deployment.
Dify
The Platform for Production-Ready Agentic Workflows. Build agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.
Flowise
Build AI Agents, Visually
n8n
Workflow automation with AI agent nodes. Strong integration library.
Semantic Kernel
Microsoft enterprise SDK. .NET / Python / Java with plugin orchestration.
smolagents
A barebones library for agents that think in code