Softwr

AI · head to head

AutoGen vs Nango

AutoGen logo

AutoGen

AI

Programming framework for multi-agent agentic AI

From
Free
Rated
-
Full reviewWebsite
Nango logo

Nango

Automation Integration

Open source unified API and OAuth infrastructure for product integrations, licensed under Elastic License 2.0

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; Nango the licence is Elastic License 2.0, which is source available rather than OSI open source, and it forbids offering Nango to third parties as a managed service, so anyone planning to resell or embed it in a platform for their own customers has a genuine legal problem.
  • They diverge on capability: AutoGen covers Multi-agent orchestration, Nango covers Managed OAuth.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which AutoGen and Nango actually diverge.

Attributes where AutoGen and Nango differ
AttributeAutoGenNango
Pricing modelOpen source, no pricingPer connection per month
PlatformsPython, .NETWeb, Linux, Docker
CategoryAIAutomation Integration

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in AutoGen

  • Multi-agent orchestration
  • Message passing API
  • AgentChat API
  • Extensions API
  • MCP server support
  • AutoGen Studio
  • Cross-language support
  • Observable agent networks

Only in Nango

  • Managed OAuth
  • Pre-built integrations
  • Custom syncs and actions
  • Incremental sync
  • Rate limit and retry handling
  • Webhooks
  • Self-hosting
  • Unified models

What people use each for

The jobs each tool is most often brought in to do.

AutoGen

  • Building multi-agent conversational systemsnot Nango
  • Rapid prototyping of agent applicationsnot Nango
  • Research on agentic AI patterns and architecturesnot Nango
  • Distributed agent networks across boundariesnot Nango

Nango

  • A SaaS product that needs to ship twenty customer-facing integrations without hiring a team to maintain OAuth and token refresh for eachnot AutoGen
  • A team that needs a niche or internal API integrated, which closed unified API vendors will not build for themnot AutoGen
  • A company with data residency or security constraints that must self-host the integration layer rather than send customer tokens to a vendornot AutoGen
  • An engineering team replacing a homegrown integration service whose main cost is silent token expiry and rate limit failures in productionnot AutoGen

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AutoGen

  • Framework now in maintenance mode, no new features planned
  • Steeper learning curve for advanced use cases
  • Microsoft recommends new projects use Agent Framework instead
  • Limited to Python and .NET platforms

Nango

  • The licence is Elastic License 2.0, which is source available rather than OSI open source, and it forbids offering Nango to third parties as a managed service, so anyone planning to resell or embed it in a platform for their own customers has a genuine legal problem.
  • Pricing is per connection where a connection is one authorised end-user account, so cost scales linearly with your customer base and a product where each user links several services multiplies quickly beyond what a headline plan price suggests.
  • Pre-built integrations vary in depth, and a connection that exists is not the same as a connection that covers the endpoints and objects your feature needs, so each one must be verified before it is designed into a roadmap.
  • Custom syncs are written in TypeScript and run in Nango model, which means integration logic lives in a vendor runtime and migrating away later requires rewriting it rather than lifting it out.
  • Self-hosting removes the vendor from the data path but transfers operational responsibility for a component that holds customer OAuth tokens, and few teams appreciate the security burden that comes with running that themselves.

Pricing, plan by plan

AutoGen

Free
  • Open SourceFree
    • MIT and CC-BY-4.0 licenses
    • Full framework access
    • Community support

Nango

Free
  • FreeFree
    • 10 connections
    • Pre-built integrations
    • Managed OAuth
  • Starter$50/month
    • 20 connections included
    • 1 USD per additional connection
    • Custom syncs and actions
  • Growth$500/month
    • 100 connections included
    • 1 USD per additional connection
    • Higher limits
  • Enterprise$undefined/month
    • Quoted
    • Custom connection volumes
    • Security review and SLA

Which should you pick?

Choose AutoGen if

  • You need multi-agent orchestration.
  • You want to start without paying.
  • You work on Python, .NET.
  • You also want message passing api.
AutoGen review

Choose Nango if

  • You need managed oauth.
  • You want to start without paying.
  • You work on Web, Linux, Docker.
  • You also want pre-built integrations.
Nango review

Questions people ask

Is AutoGen or Nango better?
Neither clearly leads. AutoGen starts at Free and Nango at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AutoGen or Nango?
AutoGen starts at Free and Nango at Free.
Does AutoGen or Nango run on more platforms?
AutoGen runs on Python, .NET. Nango runs on Web, Linux, Docker.
Can I use AutoGen for free?
Both have a free tier, so you can try either at no cost before committing.
What is AutoGen best used for?
AutoGen is most often used for building multi-agent conversational systems, rapid prototyping of agent applications, research on agentic ai patterns and architectures, distributed agent networks across boundaries. Of those, building multi-agent conversational systems and rapid prototyping of agent applications are not what Nango is typically brought in for.
What can AutoGen do that Nango cannot?
AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API. Nango covers Managed OAuth, Pre-built integrations, Custom syncs and actions, Incremental sync.

Answered from the vendors’ own pages

AutoGen: Is AutoGen still actively developed?

As of March 2026, AutoGen is in maintenance mode and will not receive new features. Microsoft recommends new projects use the Microsoft Agent Framework instead.

Source
Nango: Is Nango open source?

It is source available under Elastic License 2.0. You can read, modify and self-host it, but you cannot offer it to third parties as a managed service. That is not the same as an OSI approved open source licence.

AutoGen: Can I still use AutoGen for new projects?

While AutoGen is stable and maintained for existing projects, Microsoft recommends using the Microsoft Agent Framework for new development.

Source
Nango: How is it priced?

Per connection per month, where a connection is one authorised end-user account. Free to 10 connections, 50 dollars a month for Starter with 20, 500 for Growth with 100, and one dollar per additional connection.

AutoGen: What LLM providers does AutoGen support?

AutoGen includes extensions for OpenAI and Azure OpenAI through its Extensions API, with community support for other providers.

Source
Nango: Can we integrate an API Nango does not support?

Yes. Custom syncs and actions in TypeScript cover any API including internal ones, which is the main advantage over closed unified API products.

Nango: Can we self-host it?

Yes, under the Elastic License 2.0 terms, which permit self-hosting for your own use but not resale as a service.

Share

Related pages

More on AutoGen

More on Nango

Keep looking

Other head to heads