Portkey vs FlowLink
LLM Gateway vs AI Agent Governance
Portkey is an LLM gateway focused on API routing, caching, and observability. It helps manage LLM API calls but doesn't address autonomous AI agent governance — the runtime risk of agents executing destructive commands, accessing credentials, or exfiltrating data. FlowLink provides MCP-native policy enforcement, eBPF kernel monitoring, and credential management specifically designed for AI agents operating in production.
Feature Comparison
| Feature | Portkey | FlowLink |
|---|---|---|
| MCP Protocol Native | ✕ | ✓ |
| Runtime Policy Enforcement | ✕ | ✓ |
| eBPF Kernel Monitoring | ✕ | ✓ |
| Credential Vault | ✕ | ✓ |
| Network Bastion | ✕ | ✓ |
| AI Agent Governance | ✕ | ✓ |
| LLM API Gateway | ✓ | ✕ |
| Request Caching | ✓ | ✕ |
| Cost Tracking | ✓ | ✓ |
| Self-hosted Option | ✕ | ✓ |
| Open-source Core | ✕ | ✓ |
| Audit Trail | ✓ | ✓ |
| Shield Engine (Command Scanning) | ✕ | ✓ |
| Free Tier | ✓ | ✓ |
Why Teams Choose FlowLink
Agent-Level Governance
Portkey manages LLM API calls. FlowLink governs what AI agents actually DO in your infrastructure — commands, network access, credentials.
eBPF Runtime Protection
Kernel-level process monitoring catches threats that API gateways cannot see. Portkey operates at the HTTP layer; FlowLink at the kernel layer.
MCP-Native Architecture
Built on Model Context Protocol — the standard for AI agent communication. Portkey proxies API calls; FlowLink enforces agent policies.