AutoGen
Harbor
| Feature | ||
|---|---|---|
| Pricing | Free only | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.3 / 5 |
| Best For | ai-researchers, developers, enterprise-ai-teams, data-scientists | enterprise-devops, container-teams, security-teams, regulated-industries |
| Founded | 2023 | 2016 |
| Multi Agent | ✓ | ✗ |
| Code Execution | ✓ | ✗ |
| Human In Loop | ✓ | ✗ |
| Tool Integration | ✓ | ✗ |
| Customizable Agents | ✓ | ✗ |
| Conversation Patterns | ✓ | ✗ |
| Container Registry | ✗ | ✓ |
| Vulnerability Scanning | ✗ | ✓ |
| Rbac | ✗ | ✓ |
| Image Signing | ✗ | ✓ |
| Replication | ✗ | ✓ |
| Garbage Collection | ✗ | ✓ |
| Audit Logs | ✗ | ✓ |
✓ AutoGen Pros
- Microsoft backed
- Multi-agent conversations
- Flexible
- Active development
✗ AutoGen Cons
- Complex setup
- Documentation gaps
- Requires coding expertise
✓ Harbor Pros
- Completely free and CNCF graduated project
- Built-in vulnerability scanning (Trivy integration)
- Image signing and policy enforcement
- Multi-registry replication for geo-distribution
✗ Harbor Cons
- Requires self-hosting and infrastructure management
- UI is functional but not modern
- Initial setup complexity for production
The Verdict
AutoGen is built for ai researchers and developers, with a focus on multi-agent and code-execution. Harbor targets enterprise devops and container teams and leads with container-registry and vulnerability-scanning.
Both tools use custom enterprise pricing — you'll need to contact sales for a quote, which makes direct cost comparison difficult.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Harbor offers broader built-in capabilities (7 features vs 6), while AutoGen 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.