AutoGen vs LangGraph

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

DimensionAutoGenLangGraph
Pricingfree · from Open Source $0/mofreemium · from Developer $0/seat per month
Best forDevelopers building agents in Python or .NET, Researchers studying multi-agent collaborationBackend and platform engineers building production agents, Teams needing fine-grained control over agent workflows
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 systemsGraph-based state management for agent control flow · Human-in-the-loop checkpoints to steer and approve agent actions · Built-in memory storing conversation histories across sessions
Viability score69/10081/100
APIYesYes

AutoGen is the stronger pick for developers building agents in python or .net; LangGraph fits better for backend and platform engineers building production agents.

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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LangGraph
LangGraph

MIT-licensed agent runtime and low-level orchestration framework for building reliable, stateful AI agents.

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Pricing
Free
Freemium
Plans
$0/mo
$0/seat per month
$39/seat per month
Custom
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
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
Graph-based state management for agent control flow
Human-in-the-loop checkpoints to steer and approve agent actions
Built-in memory storing conversation histories across sessions
Token-by-token streaming of agent reasoning and actions
Single-agent, multi-agent, and hierarchical architectures in one framework
Low-level primitives for fully custom agent design
Model-agnostic: works with any LLM provider
Sandboxed code execution for agent-generated code
Prompt caching
Agent self-evaluation
MCP support including stateless protocol and elicitation
Integrates with the Deep Agents harness for long-running tasks
LangSmith observability, tracing, and evaluation
LLM Gateway runtime controls: cost limits, rate limiting, fallbacks, PII redaction
Deployment with scale-to-zero and cron scheduling
Integrations
OpenAI
Model Context Protocol (MCP) servers
Docker
gRPC
OpenAI Assistant API
Anthropic
Google
Ollama
Azure
AWS Bedrock
HuggingFace
Fireworks
Baseten
Mistral
Meta
OpenRouter
NVIDIA

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.

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Explore each tool further

AutoGen
View AutoGen reviewAutoGen alternatives
LangGraph
View LangGraph reviewLangGraph alternatives

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Last reviewed: May 12, 2026