AutoGen
Kong
| Feature | AutoGen | Kong |
|---|---|---|
| Pricing | Free only | Free / from $0.05/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.2 / 5 | 4.3 / 5 |
| Best For | ai-researchers, developers, enterprise-ai-teams, data-scientists | platform-engineers, microservices-teams, api-gateway-users, devops-teams |
| Founded | 2023 | 2010 |
| Multi Agent | ✓ | ✗ |
| Code Execution | ✓ | ✗ |
| Human In Loop | ✓ | ✗ |
| Tool Integration | ✓ | ✗ |
| Customizable Agents | ✓ | ✗ |
| Conversation Patterns | ✓ | ✗ |
| Api Gateway | ✗ | ✓ |
| Service Mesh | ✗ | ✓ |
| Load Balancing | ✗ | ✓ |
| Authentication | ✗ | ✓ |
| Rate Limiting | ✗ | ✓ |
| Plugins | ✗ | ✓ |
| Observability | ✗ | ✓ |
| Kubernetes Ingress | ✗ | ✓ |
✓ AutoGen Pros
- Microsoft backed
- Multi-agent conversations
- Flexible
- Active development
✗ AutoGen Cons
- Complex setup
- Documentation gaps
- Requires coding expertise
✓ Kong Pros
- Open-source core with large plugin ecosystem
- Sub-millisecond latency for API requests
- Platform-agnostic deployment (cloud, on-prem, hybrid)
- Strong Kubernetes-native support
✗ Kong Cons
- Enterprise features require paid license
- Configuration complexity for advanced setups
- Documentation could be more beginner-friendly
The Verdict
AutoGen is built for ai researchers and developers, with a focus on multi-agent and code-execution. Kong targets platform engineers and microservices teams and leads with api-gateway and service-mesh.
AutoGen uses custom enterprise pricing, while Kong starts at $0.05/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, Kong offers broader built-in capabilities (8 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.