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AutoGen vs Langflow: Which is Better in 2026?

Agent Framework

Choosing between AutoGen and Langflow? Both are popular agent framework tools. Below we compare them on pricing, free tiers, features, and pros & cons so you can pick the right fit for your stack.

AutoGen is for: Teams that already run AutoGen and need to maintain it while they plan a move to Microsoft Agent Framework.

Langflow is for: Teams who want to build and test agent and RAG flows visually, then serve them as APIs or MCP servers.

Quick verdict

There’s no single winner; pick on your constraint. Choose AutoGen if you already run AutoGen in production and need it to keep working while you migrate. Choose Langflow if you want to prototype agent or RAG flows visually before writing code.

AutoGen vs Langflow — Side by Side

AutoGenLangflow
CategoryAgent FrameworkAgent Framework
What it isCode library: multi-agent conversation frameworkVisual builder for agent and RAG flows
LanguagesPython, .NETVisual editor; Python components
LicenceMIT (code)MIT
Managed / paid optionNoneSelf-host or Langflow Desktop
Project statusMaintenance mode; successor is Microsoft Agent FrameworkActive; 1.x
PricingFreeFree
Starting priceFree tier availableFree tier available
Free tier
Rating4.43.9
Best forAgent Framework — existing AutoGen projects, migration pathAgent Framework — visual builder, RAG prototyping, MCP servers

Pros & Cons

  • Backed by Microsoft Research
  • Strong multi-agent conversation model
  • Completely free
  • Active development
  • APIs have shifted between versions
  • Python-centric
  • Fastest way to prototype a chain visually
  • Exports to code rather than trapping you
  • Free and self-hostable
  • Visual editing gets unwieldy past a certain size
  • Versioning a flow is harder than versioning code

Key Features Compared

AutoGen

  • Multi-agent conversations and group-chat orchestration
  • Python and .NET libraries
  • In maintenance mode: bug fixes, security patches and docs only, community-managed
  • Microsoft Agent Framework 1.0 (April 2026) is the successor, with a migration guide
  • AG2 is a separate community fork led by AutoGen’s original creators

Langflow

  • Drag-and-drop builder for agents and RAG flows
  • Flows served as APIs, and exposable as MCP servers
  • Works as an MCP client as well
  • Self-host it, or run Langflow Desktop locally
  • Owned by IBM through its DataStax acquisition
  • MIT licence

Choose AutoGen if…

  • You already run AutoGen in production and need it to keep working while you migrate.
  • You’re studying multi-agent conversation patterns from the original research project.

Choose Langflow if…

  • You want to prototype agent or RAG flows visually before writing code.
  • Non-developers on your team need to edit flows.
  • You want flows exposed as APIs or MCP servers without extra code.

Frequently Asked Questions

Is AutoGen better than Langflow?⌄

There’s no single winner; pick on your constraint. Choose AutoGen if you already run AutoGen in production and need it to keep working while you migrate. Choose Langflow if you want to prototype agent or RAG flows visually before writing code.

What is the difference between AutoGen and Langflow?⌄

What it is — AutoGen: Code library: multi-agent conversation framework. Langflow: Visual builder for agent and RAG flows. Languages — AutoGen: Python, .NET. Langflow: Visual editor; Python components. Licence — AutoGen: MIT (code). Langflow: MIT. Managed / paid option — AutoGen: None. Langflow: Self-host or Langflow Desktop. Project status — AutoGen: Maintenance mode; successor is Microsoft Agent Framework. Langflow: Active; 1.x.

AutoGen vs Langflow: which is cheaper?⌄

AutoGen pricing: Free. Langflow pricing: Free. Confirm current pricing on each tool's official site, as plans change.

Which is rated higher, AutoGen or Langflow?⌄

In our catalog, AutoGen rates 4.4 out of 5 and Langflow rates 3.9 out of 5, so AutoGen has a slight edge on reviews.

When should I skip both AutoGen and Langflow?⌄

Skip AutoGen if you’re starting a new project. AutoGen gets no new features; Microsoft points new work to Microsoft Agent Framework. Skip Langflow if your flows will grow large and need code review and versioning. A code library such as LangGraph is easier to manage.

Sources · tool facts checked October 2026

  1. 1.AutoGen repository and maintenance notice (GitHub)github.com
  2. 2.AutoGen to Microsoft Agent Framework migration guide (Microsoft Learn)learn.microsoft.com
  3. 3.Langflowlangflow.org

See more options in our guide to the best agent framework tools for startups.

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