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AI · head to head

AutoGen vs Meltano

AutoGen logo

AutoGen

AI

Programming framework for multi-agent agentic AI

From
Free
Rated
-
Full reviewWebsite
Meltano logo

Meltano

Automation Integration

Open source ELT built on the Singer tap and target ecosystem, configured as code

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; Meltano the company behind Meltano wound down in December 2025 and the project was transferred to Matatika, a much smaller organisation, so roadmap velocity and the size of the maintenance team are now materially lower than the tool's reputation suggests.
  • They diverge on capability: AutoGen covers Multi-agent orchestration, Meltano covers Singer plugin management.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which AutoGen and Meltano actually diverge.

Attributes where AutoGen and Meltano differ
AttributeAutoGenMeltano
Pricing modelOpen source, no pricingOpen source, no licence fee
PlatformsPython, .NETLinux, macOS, Docker, Windows (via WSL)
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 Meltano

  • Singer plugin management
  • Project as code
  • Environments
  • Incremental state
  • dbt integration
  • Custom taps
  • Orchestrator hooks
  • Container deployment

What people use each for

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

AutoGen

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

Meltano

  • A data team that wants to stop paying per-row connector fees on high-volume sources they can extract themselvesnot AutoGen
  • Loading from an API that no commercial ELT vendor supports, by writing a tap with the Meltano SDKnot AutoGen
  • Keeping pipeline configuration in the same Git repository and review process as the rest of the platform codenot AutoGen
  • A regulated environment where extraction must run inside your own network with no data passing through a vendornot 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

Meltano

  • The company behind Meltano wound down in December 2025 and the project was transferred to Matatika, a much smaller organisation, so roadmap velocity and the size of the maintenance team are now materially lower than the tool's reputation suggests.
  • Singer connector quality varies enormously; a tap may be maintained, abandoned, or maintained only for the subset of endpoints its original author needed, and you will not know which until a schema change breaks a load at 3am.
  • There is no managed hosting from the project itself, so someone on your team owns scheduling, secrets, retries, alerting and upgrades, which is real headcount that a per-row SaaS bill was buying for you.
  • It is command-line and YAML first with no meaningful web interface, so analysts who are not comfortable in Git and a terminal cannot maintain pipelines themselves.
  • Debugging spans three layers, the tap, Meltano itself and the target, and each has its own logging conventions, so failures often require reading Python source in a third-party connector.

Pricing, plan by plan

AutoGen

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

Meltano

Free
  • MeltanoFree
    • MIT licensed, self-hosted
    • No paid Meltano Cloud tier; it was retired before the company wound down
    • Community support via Slack and GitHub

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 Meltano if

  • You need singer plugin management.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Windows (via WSL).
  • You also want project as code.
Meltano review

Questions people ask

Is AutoGen or Meltano better?
Neither clearly leads. AutoGen starts at Free and Meltano at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AutoGen or Meltano?
AutoGen starts at Free and Meltano at Free.
Does AutoGen or Meltano run on more platforms?
AutoGen runs on Python, .NET. Meltano runs on Linux, macOS, Docker, Windows (via WSL).
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 Meltano is typically brought in for.
What can AutoGen do that Meltano cannot?
AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API. Meltano covers Singer plugin management, Project as code, Environments, Incremental state.

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
Meltano: Is Meltano still maintained after the company shut down?

Yes. Arch, formerly Meltano, was acquired by Matatika in December 2025 and the open source project continues under their stewardship, with releases through 2026.

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
Meltano: Is there a hosted Meltano?

Not from the project. Meltano Cloud was retired, and hosting now comes from Matatika or from running the container yourself.

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
Meltano: How does it compare on cost with Fivetran?

Meltano has no licence fee, so the comparison is your engineering time versus Fivetran's per-monthly-active-row billing. High-volume, low-complexity sources favour Meltano; long tails of fiddly SaaS APIs favour Fivetran.

Meltano: Can I use Airbyte connectors with it?

Yes, Meltano can run Airbyte source connectors through a bridge, which widens the connector pool beyond Singer taps.

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