Side-by-Side Comparison · 2026

AutoGen 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.

AutoGen

Microsoft Research

Free
vs

LangGraph

LangChain

Free
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: Free
API Access
AutoGen: Not availableLangGraph: Not available
Platforms
AutoGen: WebLangGraph: Web
Integrations
AutoGen: —LangGraph: —
Vendor
AutoGen: Microsoft ResearchLangGraph: LangChain
Category
AutoGen: FrameworksLangGraph: Frameworks
Launch
AutoGen: —LangGraph: —

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. Microsoft's release candidate of Microsoft Agent Framework, announced on 19 February 2026, came with a guide for migrating Semantic Kernel and AutoGen projects to it.

Designed For

  • Automated research
  • Code generation pipelines
  • Multi-step reasoning
  • Debate-style QA
Full AutoGen details

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
Full LangGraph details

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.