AutoGen vs LangGraph

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

Analysis generated Live tool data as of 2026-11-08
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AutoGen or LangGraph: which should you choose?

DimensionAutoGenLangGraph
PricingFreeFree · from $39/seat/mo
Best forDevelopers building multi-agent apps in Python or .NET, Researchers studying multi-agent collaboration and conversation topologiesBackend and platform engineers shipping stateful agents to production, Teams that need human approval gates inside an agent loop
Standout featuresAutoGen Studio web UI for prototyping agents without writing code (pip install, port 8080) · AgentChat Python framework for conversational single- and multi-agent apps, Python 3.10+ · Core event-driven framework for scalable multi-agent systemsGraph-based state management for explicit agent control flow · Human-in-the-loop checks to steer and approve agent actions · Built-in memory storing conversation history and context across sessions
Viability score73/10081/100
APIYesYes

AutoGen is the stronger pick for developers building multi-agent apps in python or .net; LangGraph fits better for backend and platform engineers shipping stateful agents to production.

Built from live tool data, last verified 2026-11-08.

AutoGen
AutoGen

AutoGen is Microsoft's open-source framework for building conversational and event-driven multi-agent AI apps in Python and .NET.

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LangGraph
LangGraph

LangGraph is a low-level agent orchestration framework for building stateful, controllable AI agents as graphs.

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Pricing
Free
Freemium
Plans
Open SourceFree
DeveloperFree
Plus$39/seat/mo
EnterpriseCustom
Popularity
5.3k views
3.1k views
Skill Level
Intermediate
Advanced
API Available
Platforms
—
API
Categories
🕸️ Agent Frameworks & Orchestration
🕸️ Agent Frameworks & Orchestration📡 LLM Observability & Evals
FeaturesAutoGenLangGraph
AutoGen Studio web UI for prototyping agents without writing code (pip install, port 8080)
AgentChat Python framework for conversational single- and multi-agent apps, Python 3.10+
Core event-driven framework for scalable multi-agent systems
Deterministic and dynamic agentic workflows for business processes
Distributed multi-language agents via GrpcWorkerAgentRuntime over gRPC
AssistantAgent with model clients such as OpenAIChatCompletionClient
Customizable conversation patterns including group chat and sequential turns
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
Community extensions you can discover, use, or publish
Human-in-the-loop approval and intervention inside agent workflows
Parallel .NET API surface alongside Python
Documented migration path for projects moving off AutoGen 0.2
MIT-licensed source you can self-host and modify
Graph-based state management for explicit agent control flow
Human-in-the-loop checks to steer and approve agent actions
Built-in memory storing conversation history and context across sessions
First-class token-by-token streaming of reasoning and actions
Single-agent, multi-agent, and hierarchical architectures in one framework
Low-level primitives for fully customizable agent design
Model-agnostic: build and ship with any model provider
MCP support in the open-source stack, including elicitation and the stateless protocol
Agent runtime for orchestrating long-running agent workflows
MIT-licensed open-source library, free to use
IntegrationsAutoGenLangGraph
OpenAI
Model Context Protocol (MCP) servers
Docker
gRPC
OpenAI Assistant API
Anthropic
Google Gemini
OpenRouter
Fireworks
Baseten
Ollama
Azure
AWS Bedrock
HuggingFace

Frequently Asked Questions

Which is better, AutoGen or LangGraph?

The best choice between AutoGen and LangGraph 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 LangGraph?

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 LangGraph?

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

What else are AutoGen and LangGraph compared with?

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Langfuse vs LangGraph comparison
AutoGen vs AutoGPT comparison
DeepAgents vs LangGraph comparison
AutoGen vs LangChain comparison

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

Haystack vs LangGraph comparison

Where can you read more about AutoGen and LangGraph?

AutoGen
View AutoGen reviewAutoGen alternatives
LangGraph
View LangGraph reviewLangGraph alternatives

Browse these categories

Best AI Agent Frameworks & Orchestration toolsBest AI LLM Observability & Evals tools
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Analysis generated by our model pipeline from live data: