CrewAI
Windmill
| Feature | CrewAI | Windmill |
|---|---|---|
| Pricing | Free / from $200/mo | Free / from $10/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.4 / 5 |
| Best For | python-developers, ai-engineers, automation-builders, researchers | developers, devops-teams, internal-tools, data-pipelines |
| Founded | 2023 | 2022 |
| Multi Agent Orchestration | ✓ | ✗ |
| Role Based Agents | ✓ | ✗ |
| Tool Integration | ✓ | ✗ |
| Memory | ✓ | ✗ |
| Process Types | ✓ | ✗ |
| Crew Deployment | ✓ | ✗ |
| Workflow Editor | ✗ | ✓ |
| Script To Ui | ✗ | ✓ |
| Scheduling | ✗ | ✓ |
| Approval Flows | ✗ | ✓ |
| Multi Language | ✗ | ✓ |
| Self Hostable | ✗ | ✓ |
| Audit Logs | ✗ | ✓ |
✓ CrewAI Pros
- Open-source Python framework
- Role-based agent design
- Growing tool ecosystem
- Active community
✗ CrewAI Cons
- Requires Python knowledge
- Output quality varies with prompts
- Debugging multi-agent systems is hard
✓ 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
CrewAI is built for python developers and ai engineers, with a focus on multi-agent-orchestration and role-based-agents. Windmill targets developers and devops teams and leads with workflow-editor and script-to-ui.
On pricing, Windmill is the clear winner for budget-conscious users — starting at $10/mo compared to $200/mo for CrewAI. That $190/mo difference adds up quickly for growing teams.
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 CrewAI takes a more focused approach — which can mean a simpler, faster onboarding experience.
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.