AutoGen
Windmill
| Feature | ||
|---|---|---|
| Pricing | Free only | Free / from $10/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.4 / 5 |
| Best For | ai-researchers, developers, enterprise-ai-teams, data-scientists | developers, devops-teams, internal-tools, data-pipelines |
| Founded | 2023 | 2022 |
| Multi Agent | ✓ | ✗ |
| Code Execution | ✓ | ✗ |
| Human In Loop | ✓ | ✗ |
| Tool Integration | ✓ | ✗ |
| Customizable Agents | ✓ | ✗ |
| Conversation Patterns | ✓ | ✗ |
| Workflow Editor | ✗ | ✓ |
| Script To Ui | ✗ | ✓ |
| Scheduling | ✗ | ✓ |
| Approval Flows | ✗ | ✓ |
| Multi Language | ✗ | ✓ |
| Self Hostable | ✗ | ✓ |
| Audit Logs | ✗ | ✓ |
✓ AutoGen Pros
- Microsoft backed
- Multi-agent conversations
- Flexible
- Active development
✗ AutoGen Cons
- Complex setup
- Documentation gaps
- Requires coding expertise
✓ Windmill Pros
- Open-source and self-hostable
- Supports Python, TypeScript, Go, Bash, SQL natively
- Auto-generates UI from script parameters
- Excellent scheduling and workflow orchestration
✗ Windmill Cons
- Smaller community than Zapier/n8n
- Self-hosting requires infrastructure knowledge
- Less polished documentation for beginners
The Verdict
AutoGen is built for ai researchers and developers, with a focus on multi-agent and code-execution. Windmill targets developers and devops teams and leads with workflow-editor and script-to-ui.
AutoGen uses custom enterprise pricing, while Windmill starts at $10/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Windmill offers broader built-in capabilities (7 features vs 6), while AutoGen takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for developers — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.