AI · head to head
AutoGen vs OpenEBS
The short version
- Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; OpenEBS there is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
- They diverge on capability: AutoGen covers Multi-agent orchestration, OpenEBS covers Replicated engine.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which AutoGen and OpenEBS actually diverge.
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 OpenEBS
- Replicated engine
- Local PV engines
- Kubernetes-native management
- Snapshots and clones
- No licence fee
- Hardware independence
What people use each for
The jobs each tool is most often brought in to do.
AutoGen
- Building multi-agent conversational systemsnot OpenEBS
- Rapid prototyping of agent applicationsnot OpenEBS
- Research on agentic AI patterns and architecturesnot OpenEBS
- Distributed agent networks across boundariesnot OpenEBS
OpenEBS
- Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot AutoGen
- A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot AutoGen
- An edge or lab deployment where a commercial storage licence cannot be justifiednot AutoGen
- Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot 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
OpenEBS
- There is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
- The project has several storage engines with different maturity and different operational characteristics, and choosing the wrong one for your workload produces poor results that look like a product failure.
- Documentation and upgrade guidance assume real Kubernetes storage knowledge, so teams without that expertise underestimate the operational load they are taking on.
- Project governance shifted after DataCore acquired MayaData in 2021, which means the direction of a supposedly neutral project is influenced by one commercial sponsor.
- Disaster recovery, cross-cluster replication and policy-driven data services are thinner than in the commercial alternatives, so organisations with those requirements end up building them or buying a product anyway.
Pricing, plan by plan
AutoGen
Free- Open SourceFree
- MIT and CC-BY-4.0 licenses
- Full framework access
- Community support
OpenEBS
Free- OpenEBSFree
- Apache 2.0 licensed
- All storage engines included
- No node or capacity limits
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.
Choose OpenEBS if
- You need replicated engine.
- You want to start without paying.
- You work on Linux.
- You also want local pv engines.
Questions people ask
- Is AutoGen or OpenEBS better?
- Neither clearly leads. AutoGen starts at Free and OpenEBS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AutoGen or OpenEBS?
- AutoGen starts at Free and OpenEBS at Free.
- Does AutoGen or OpenEBS run on more platforms?
- AutoGen runs on Python, .NET. OpenEBS runs on Linux.
- 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 OpenEBS is typically brought in for.
- What can AutoGen do that OpenEBS cannot?
- AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API. OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones.
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.
SourceOpenEBS: Who supports it in production?
The project is community supported. Commercial support is available from DataCore, which acquired the original sponsor MayaData in 2021. Establish that relationship before production, not during an incident.
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.
SourceOpenEBS: Which engine should we use?
If your application replicates its own data, use a Local engine and avoid replicating twice. If it does not, such as with PostgreSQL, use the Replicated engine.
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.
SourceOpenEBS: Does it cost anything?
No licence fee. The cost is operational, and a support contract if you want someone accountable.
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