AI · head to head
AutoGen vs Ollama

Ollama
Machine Learning
Open-source tool for running LLMs locally on desktop and servers
- From
- Free
- Free plan
- Yes
The short version
- Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which AutoGen and Ollama 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 Ollama
Nothing recorded that AutoGen does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
AutoGen
- Building multi-agent conversational systemsnot Ollama
- Rapid prototyping of agent applicationsnot Ollama
- Research on agentic AI patterns and architecturesnot Ollama
- Distributed agent networks across boundariesnot Ollama
Ollama
- Local development and testing without API costs or rate limitsnot AutoGen
- Privacy-sensitive applications requiring data to remain on-devicenot AutoGen
- Cost-sensitive deployments where computational resources are already availablenot AutoGen
- Fully offline environments or air-gapped networksnot 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
Ollama
- Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- No hosted service option for inference; all computational burden falls to user
- Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
- Performance depends entirely on user's hardware; no SLAs or guarantees on speed
Pricing, plan by plan
AutoGen
Free- Open SourceFree
- MIT and CC-BY-4.0 licenses
- Full framework access
- Community support
Ollama
Free- FreeFree
- CLI, API, desktop apps
- Unlimited public models
- 40,000+ community integrations
- Pro$20/month
- Access to larger, more powerful cloud models
- Run 3 concurrent cloud models
- 50x more usage than Free
- Max$100/month
- Run 10 concurrent cloud models
- 5x more usage than Pro
- Team$25/month
- Per seat pricing (5-seat minimum = $125/month)
- Shared billing
- Zero data retention
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 Ollama if
- You want to start without paying.
- You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Questions people ask
- Is AutoGen or Ollama better?
- Neither clearly leads. AutoGen starts at Free and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AutoGen or Ollama?
- AutoGen starts at Free and Ollama at Free.
- Does AutoGen or Ollama run on more platforms?
- AutoGen runs on Python, .NET. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
- 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 Ollama is typically brought in for.
- What can AutoGen do that Ollama cannot?
- AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API.
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.
SourceOllama: How much does Ollama cost?
Ollama is free to use with unlimited public models. Pro paid plans start at $20/month for 3 concurrent cloud models, or $100/month for Max with 10 concurrent models. Team plans cost $25/seat/month with a 5-seat minimum.
SourceAutoGen: 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.
SourceOllama: What does the Ollama free tier include?
The free tier includes CLI and API access, unlimited public models, 40,000+ community integrations, and private data retention, though limited to 1 concurrent cloud model.
SourceAutoGen: What LLM providers does AutoGen support?
AutoGen includes extensions for OpenAI and Azure OpenAI through its Extensions API, with community support for other providers.
SourceOllama: How much usage is included with each Ollama plan?
Pro includes 50x more usage than Free, and Max includes 5x more usage than Pro. Session limits reset every 5 hours and weekly limits reset every 7 days across all tiers.
SourceOllama: Does Ollama log or train on user data?
No, Ollama explicitly states that prompt or response data is never logged or trained on, protecting user privacy across all plans.
SourceRelated pages
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- Ollama vs DVC
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