AutoGen vs CrewAI

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionAutoGenCrewAI
Pricingfree · from Open Source $0/mofreemium · from Basic $0/mo
Best forDevelopers building agents in Python or .NET, Researchers studying multi-agent collaborationEnterprise teams that need Discovery to find automation opportunities in tickets and chats, Regulated organizations requiring RBAC, immutable audit trails, and PII redaction
Standout featuresAutoGen Studio web UI for prototyping agents without writing code · AgentChat Python framework for conversational single- and multi-agent apps · Core event-driven framework for scalable multi-agent systemsNo-code visual editor with AI copilot, exportable to Python · Code-first Python API for custom orchestration · Role-based agents that separate and simplify orchestration
Viability score69/10087/100
APIYesYes

AutoGen is the stronger pick for developers building agents in python or .net; CrewAI fits better for enterprise teams that need discovery to find automation opportunities in tickets and chats.

Built from live tool data, last verified 2026-09-29.

AutoGen
AutoGen

Microsoft's open-source framework for building conversational and event-driven AI agents in Python and .NET.

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CrewAI
CrewAI

CrewAI is an enterprise platform for building, governing, and optimizing multi-agent AI workflows, with a no-code visual editor and a code-first Python API.

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Pricing
Free
Freemium
Plans
$0/mo
$0/mo
Custom
Popularity
5.3k views
4.2k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
—
WebAPICLI
Categories
🕸️ Agent Frameworks & Orchestration
🕸️ Agent Frameworks & Orchestration🛡️ AI Governance & Guardrails
Features
AutoGen Studio web UI for prototyping agents without writing code
AgentChat Python framework for conversational single- and multi-agent apps
Core event-driven framework for scalable multi-agent systems
Flexible agent role definition with distinct tools and model backends
Customizable conversation patterns including group chat and sequential turns
Extensions system for interfacing with external services and libraries
McpWorkbench for connecting agents to Model Context Protocol (MCP) servers
OpenAIAssistantAgent for using the OpenAI Assistant API
DockerCommandLineCodeExecutor for running model-generated code in a Docker container
GrpcWorkerAgentRuntime for distributed multi-language agents
Community extensions you can discover, use, or publish
Human-in-the-loop approval and intervention inside agent workflows
Python 3.10+ support with a .NET surface for agent workflows
Migration path documented for projects moving off AutoGen 0.2
MIT-licensed and free to self-host and modify
No-code visual editor with AI copilot, exportable to Python
Code-first Python API for custom orchestration
Role-based agents that separate and simplify orchestration
Deterministic agent workflow construction
CrewAI Discovery ranks automation opportunities from tickets, chats, apps, and workflows
Interactive suggestions refine recommended automations
Agent automations exportable as shareable presentation decks
Crew Studio automated multi-agent builder guided by 700k workflow patterns
Real-time tracing of every LLM call, tool call, and memory read with full cost accounting
RBAC, immutable audit trails, and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks for PII redaction and policy checks at every LLM and tool call
Automated and human-guided agent training from production runs
Multi-LLM testing for model swapping at runtime
Evaluation tracking powered by Arize, Galileo, DataDog, and Patronus
Integrations
OpenAI
Model Context Protocol (MCP) servers
Docker
gRPC
OpenAI Assistant API
GitHub
Slack
Microsoft Teams
MS Entra
Okta
Arize
Galileo
DataDog
Patronus
OpenTelemetry

Frequently Asked Questions

Which is better, AutoGen or CrewAI?

The best choice between AutoGen and CrewAI depends on your specific use case — we compare them independently on features, current pricing, integrations, and real-world signals (with an on-demand sentiment scan available for each). See the side-by-side breakdown above to match them to your needs.

What are the main differences between AutoGen and CrewAI?

The key differences include pricing model, feature set, platform support, and skill level requirements. Review the full comparison on RightAIChoice for a detailed breakdown.

Is there a free version of AutoGen or CrewAI?

Check the pricing section in the comparison for the latest pricing details on both tools, including free tiers, trial options, and paid plans.

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If you're engineering complex agents that must run reliably in production and you need deep debugging, evaluation, and autonomous issue diagnosis, choose LangChain. If you're a developer or researcher

Explore each tool further

AutoGen
View AutoGen reviewAutoGen alternatives
CrewAI
View CrewAI reviewCrewAI alternatives

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Best AI Agent Frameworks & Orchestration toolsBest AI AI Governance & Guardrails tools
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Last reviewed: May 12, 2026