AutoGen
Microsoft Research
FreeLangGraph
LangChain
FreeAutoGen vs LangGraph: Full Comparison (2026)
AutoGen is microsoft's framework for multi-agent conversational ai. LangGraph is build stateful multi-agent applications with graph-based flows. Use the breakdown below to find the right fit for your needs.
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.
Side-by-Side Overview
Pricing Model
AutoGen
FreeLangGraph
FreeAPI Access
AutoGen
Not availableLangGraph
Not availablePlatforms
AutoGen
WebLangGraph
WebIntegrations
AutoGen
—LangGraph
—Vendor
AutoGen
Microsoft ResearchLangGraph
LangChainCategory
AutoGen
FrameworksLangGraph
FrameworksLaunch
AutoGen
—LangGraph
—| Feature | AutoGen | LangGraph |
|---|---|---|
| Pricing Model | Free | Free |
| API Access | Not available | Not available |
| Platforms | Web | Web |
| Integrations | — | — |
| Vendor | Microsoft Research | LangChain |
| Category | Frameworks | Frameworks |
| Launch | — | — |
About AutoGen
AutoGen is Microsoft Research's framework for building LLM applications using multiple conversational agents that can collaborate, debate, and use tools to solve complex problems. Supports both autonomous and human-in-the-loop workflows.
Designed For
- Automated research
- Code generation pipelines
- Multi-step reasoning
- Debate-style QA
About LangGraph
LangGraph extends LangChain with graph-based orchestration for building stateful, cyclic multi-agent applications. Enables complex agent workflows with conditional edges, state persistence, and human-in-the-loop checkpoints.
Designed For
- Stateful AI agents
- Complex multi-step workflows
- Cyclic agent loops
- Human-in-the-loop
Strengths & Limitations
AutoGen
Strengths
- Flexible agent patterns
- Human-in-the-loop support
- Microsoft backing
Limitations
- Can be verbose
- Requires careful prompt engineering
LangGraph
Strengths
- Stateful by design
- LangChain ecosystem
- Complex flow support
Limitations
- Requires LangChain knowledge
- Complex for simple tasks
Frequently Asked Questions
What is the difference between AutoGen and LangGraph?
AutoGen is microsoft's framework for multi-agent conversational ai, while LangGraph is build stateful multi-agent applications with graph-based flows. AutoGen is designed for Frameworks; LangGraph is designed for Frameworks. The right fit depends on your specific requirements.
How do the pricing models compare?
AutoGen is available under a Free model. LangGraph is available under a Free model. Always verify pricing on each vendor's official website as it may change.
How do I choose between AutoGen and LangGraph?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.
Feature Snapshot
Explore Further
AutoGen full detailsLangGraph full detailsAutoGen official siteLangGraph official siteRelated Comparisons
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.