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Microsoft AutoGen vs LangGraph
Microsoft AutoGen vs LangGraph: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
Microsoft AutoGen vs LangGraph : buying comparison
This comparison helps choose between Microsoft AutoGen and LangGraph by pricing, use case, models, integration, privacy and governance.
Budget: Microsoft AutoGen · Open source. Rating: LangGraph · 4.6/5.
| Criteria | Microsoft AutoGen | LangGraph |
|---|---|---|
| Price | Open source | Open source / platform |
| Best for | Research and legacy multi-agent prototypes that need Microsoft-backed agent abstractions | Building reliable stateful agents, multi-agent graphs and long-running workflows |
| Models | AgentChat, multi-agent conversations, distributed agents, AutoGen Studio and workflow orchestration | State graphs, durable execution, streaming workflows, human-in-the-loop and agent orchestration |
| Privacy | Open-source framework; runtime privacy depends on chosen models, tools and deployment environment | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan |
| Rating | 3.8/5 | 4.6/5 |
Frequently asked questions
Microsoft AutoGen or LangGraph: which one should you choose?
Choose Microsoft AutoGen if entry budget is the priority. Choose LangGraph if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do Microsoft AutoGen and LangGraph cover the same need?
Yes, they are close in category; compare limits, privacy, integration and suggestion quality.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.