Best Of · 10 frameworks

Best AI Agent Frameworks

Open-source frameworks and platforms for building AI agents. This page compares tools for developers who want to build their own agent systems — not pre-built AI assistants. Every framework listed here has a profile in our directory with full details.

All 10 frameworks are open source. Browse all Agent Frameworks →

Quick comparison

FrameworkBest forLanguageSetupPricingHostedAPIDocs
LangGraph

LangChain

Stateful multi-agent workflows with human-in-the-loop controlPythonmediumFreeNoNoYes
CrewAI

CrewAI

Orchestrating autonomous agent teams for enterprise tasksPythonmediumFreemiumYesYesYes
AutoGen

Microsoft

Multi-agent conversations in Python and .NETPython, .NETmediumFreeNoNoYes
Semantic Kernel

Microsoft

Adding AI agents to .NET, Python, and Java appsPython, .NET, JavamediumFreeNoNoYes
LlamaIndex

LlamaIndex

Document-grounded agents and retrieval-augmented generationPythonmediumFreemiumYesYesYes
Pydantic AI

Pydantic

Type-safe Python agents with validated structured outputsPythonmediumFreeNoNoYes
Smolagents

Hugging Face

Minimal code-first agents with Hugging Face ecosystemPythonmediumFreeNoNoYes
Dify

LangGenius

No-code agentic workflows and RAG pipelinesNot listedeasyFreemiumYesYesYes
Flowise

FlowiseAI

Visual drag-and-drop agent and RAG workflow buildingNot listedeasyFreemiumYesYesYes
Mastra

Mastra

TypeScript-first AI agents and workflows for Node.js teamsTypeScriptmediumFreeNoYesYes

All frameworks

LangGraph·LangChainFreeOpen source

An open-source Python framework for building stateful, multi-agent workflows with human-in-the-loop controls and persistent memory.

Best for

Stateful multi-agent workflows with human-in-the-loop control

Not ideal for

Non-developers or teams needing a hosted no-code agent builder

Language: Python·Setup: medium·Full profile →
CrewAI·CrewAIFreemiumOpen source

An open-source framework and hosted platform for building teams of AI agents that collaborate on complex tasks autonomously.

Best for

Orchestrating autonomous agent teams for enterprise tasks

Not ideal for

Solo developers who need a lightweight single-agent setup

Language: Python·Setup: medium·Hosted option available·Full profile →
AutoGen·MicrosoftFreeOpen source

A Microsoft framework for building multi-agent AI applications where agents collaborate through structured conversations.

Best for

Multi-agent conversations in Python and .NET

Not ideal for

New projects — Microsoft recommends their newer Agent Framework instead

Language: Python, .NET·Setup: medium·Full profile →
Semantic Kernel·MicrosoftFreeOpen source

A Microsoft SDK for building, orchestrating, and deploying AI agents and multi-agent systems in .NET, Python, and Java.

Best for

Adding AI agents to .NET, Python, and Java apps

Not ideal for

Non-developers or teams outside the Microsoft ecosystem

Language: Python, .NET, Java·Setup: medium·Full profile →
LlamaIndex·LlamaIndexFreemiumOpen source

An open-source framework for building document-grounded AI agents and retrieval-augmented generation pipelines.

Best for

Document-grounded agents and retrieval-augmented generation

Not ideal for

General-purpose agent orchestration without a document/data focus

Language: Python·Setup: medium·Hosted option available·Full profile →
Pydantic AI·PydanticFreeOpen source

A Python agent framework with built-in validation and structured outputs, built by the team behind Pydantic.

Best for

Type-safe Python agents with validated structured outputs

Not ideal for

Non-Python developers or teams needing a visual agent builder

Language: Python·Setup: medium·Full profile →
Smolagents·Hugging FaceFreeOpen source

A barebones Python library where agents think and act by writing code, built by Hugging Face.

Best for

Minimal code-first agents with Hugging Face ecosystem

Not ideal for

Complex multi-agent orchestration or teams needing visual tooling

Language: Python·Setup: medium·Full profile →
Dify·LangGeniusFreemiumOpen source

An open-source platform for building agentic workflows and RAG pipelines with a visual no-code interface.

Best for

No-code agentic workflows and RAG pipelines

Not ideal for

Developers who need full code-level control over agent behaviour

Language: Not listed·Setup: easy·Hosted option available·Full profile →
Flowise·FlowiseAIFreemiumOpen source

An open-source drag-and-drop platform for building AI agents, RAG systems, and multi-agent workflows visually.

Best for

Visual drag-and-drop agent and RAG workflow building

Not ideal for

Developers who prefer code-first agent frameworks with full programmatic control

Language: Not listed·Setup: easy·Hosted option available·Full profile →
Mastra·MastraFreeOpen source

An open-source TypeScript framework for building, deploying, and observing AI agents and workflows.

Best for

TypeScript-first AI agents and workflows for Node.js teams

Not ideal for

Python-first teams or those needing a visual no-code builder

Language: TypeScript·Setup: medium·Full profile →

How to choose an AI agent framework

Start with your language

Most frameworks are Python-first. If your team uses TypeScript, Mastra is currently the only dedicated option. For .NET or Java, Semantic Kernel is the strongest choice.

Code-first vs. visual builder

Dify and Flowise offer drag-and-drop interfaces — faster to prototype, but less flexible for custom logic. The rest are code-only and give you full control.

Single-agent vs. multi-agent

If you need multiple agents working together, LangGraph, CrewAI, and AutoGen are designed for multi-agent orchestration. Pydantic AI and Smolagents are better for single-agent or simple pipeline use cases.

Do you need hosted deployment?

CrewAI, Dify, Flowise, and LlamaIndex offer cloud-hosted options alongside self-hosting. The others are self-hosted only — you manage your own infrastructure.

Frequently asked questions

What is an AI agent framework?

An AI agent framework is a library or platform that provides the building blocks for creating AI agents — programs that can reason, use tools, and take actions autonomously. Frameworks handle orchestration, state management, and LLM integration so you can focus on defining agent behaviour.

Which framework should I use if I only know Python?

Most frameworks in this list are Python-first: LangGraph, CrewAI, Pydantic AI, Smolagents, and AutoGen all support Python. LangGraph and CrewAI are the most full-featured; Pydantic AI is strongest for type safety; Smolagents is the most minimal.

Which frameworks have a visual builder?

Dify and Flowise both offer drag-and-drop visual interfaces for building agent workflows without writing orchestration code. The other frameworks are code-only.

Which framework supports TypeScript?

Mastra is the only TypeScript-native framework in this list. It integrates with Next.js, Express, and Hono. Semantic Kernel also has some TypeScript/JavaScript support alongside .NET and Python.

Are these frameworks free to use?

All 10 are open source. LangGraph, AutoGen, Semantic Kernel, Pydantic AI, Smolagents, and Mastra are fully free. CrewAI, Dify, Flowise, and LlamaIndex offer free open-source cores with optional paid cloud hosting.

See the full Agent Frameworks category with detailed profiles.

Browse all Agent Frameworks →