AI · head to head
AutoGen vs Poolside

Poolside
AI
Open-weight foundation models built for agentic software engineering
- From
- $0.06/month
- Rated
- -
The short version
- Only AutoGen has a free tier, so it costs nothing to try first.
- Each has a real cost: AutoGen framework now in maintenance mode, no new features planned; Poolside no self-serve public application; access is largely through enterprise sales or third-party model gateways
- They diverge on capability: AutoGen covers Multi-agent orchestration, Poolside covers Laguna S 2.1.
Where they differ
Only the attributes on which AutoGen and Poolside actually diverge.
Identical on both: user rating (Not yet rated), category (AI).
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 Poolside
- Laguna S 2.1
- Laguna XS 2.1
- Desktop and CLI tools
- Open-weight models
- Third-party gateway access
What people use each for
The jobs each tool is most often brought in to do.
AutoGen
- Building multi-agent conversational systemsnot Poolside
- Rapid prototyping of agent applicationsnot Poolside
- Research on agentic AI patterns and architecturesnot Poolside
- Distributed agent networks across boundariesnot Poolside
Poolside
- Enterprises deploying AI coding assistance across large developer organizationsnot AutoGen
- Government and defense agencies needing on-premise or sovereign coding modelsnot AutoGen
- Teams building custom coding agents on open-weight foundation modelsnot AutoGen
- Organizations wanting on-device lightweight coding modelsnot 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
Poolside
- No self-serve public application; access is largely through enterprise sales or third-party model gateways
- Pricing for the flagship enterprise and government offering is not public and requires a sales conversation
- Targets organizations with large (5,000+) developer headcounts, making it a poor fit for individuals or small teams
- Documentation and product surface area are thin compared to consumer-facing coding assistants
Pricing, plan by plan
AutoGen
Free- Open SourceFree
- MIT and CC-BY-4.0 licenses
- Full framework access
- Community support
Poolside
$0.06/month- Laguna XS 2.1$undefined/month
- $0.06 per 1M input tokens
- $0.12 per 1M output tokens
- Available via OpenRouter and Vercel AI Gateway
- Laguna S 2.1$undefined/month
- $0.10 per 1M input tokens
- $0.20 per 1M output tokens
- 1M token context window
- Enterprise / Government$undefined/month
- Custom contracts for large engineering organizations
- Sales-quoted pricing
- On-premise or dedicated deployment options
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 Poolside if
- You need laguna s 2.1.
- You work on web, api, mac, windows, linux.
- You also want laguna xs 2.1.
Questions people ask
- Is AutoGen or Poolside better?
- Neither clearly leads. AutoGen starts at Free and Poolside at $0.06/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, AutoGen or Poolside?
- AutoGen has a free tier; the other does not. Paid plans start at Free for AutoGen and $0.06/month for Poolside.
- Does AutoGen or Poolside run on more platforms?
- AutoGen runs on Python, .NET. Poolside runs on web, api, mac, windows, linux.
- Can I use AutoGen for free?
- Yes. AutoGen has a free tier, so you can try it without paying. Poolside starts at $0.06/month.
- 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 Poolside is typically brought in for.
- What can AutoGen do that Poolside cannot?
- AutoGen covers Multi-agent orchestration, Message passing API, AgentChat API, Extensions API. Poolside covers Laguna S 2.1, Laguna XS 2.1, Desktop and CLI tools, Open-weight models.
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.
SourcePoolside: How is Poolside's Laguna model usage priced?
Laguna XS 2.1 is priced at $0.06 per 1M input tokens and $0.12 per 1M output tokens; Laguna S 2.1 is $0.10 per 1M input tokens and $0.20 per 1M output tokens.
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.
SourcePoolside: Where can I access Poolside's models?
Laguna models are available through third-party gateways OpenRouter and Vercel AI Gateway, as well as via Poolside's own desktop and CLI tools.
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.
SourcePoolside: Does Poolside offer enterprise or government pricing?
Yes, Poolside offers custom, sales-quoted contracts for large enterprises and government/defense customers, including on-premise or dedicated deployment options.
SourcePoolside: How do I get started building with Poolside's models?
Poolside's documentation provides a quickstart guide for installing the `pool` CLI and running an agent task, alongside API documentation for custom integrations.
SourceRelated pages
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