Govyn vs Agentgateway
Feature comparison
| Feature | Govyn | Agentgateway |
|---|---|---|
| Architecture | Governance proxy | Data plane (Rust) |
| Primary focus | Agent governance | Agent connectivity |
| MCP protocol support | ||
| A2A protocol support | ||
| Per-agent budget caps | Enterprise only | |
| Policy-as-code (YAML) | xDS configuration | |
| Approval workflows | ||
| Full replay logging | Enterprise only | |
| PII redaction | Enterprise only | |
| Multi-provider routing | ||
| Kubernetes-native | Docker support | |
| Multi-tenant support | Via agent keys | |
| Setup complexity | npx, single YAML | Kubernetes / standalone |
| Open source | MIT | Apache 2.0 |
| Maturity | Stable | Pre-1.0 alpha |
Architecture comparison
Sits between agent and provider at the HTTP level. Agents never see real API keys. No code changes required.
Sits between agent and provider at the HTTP level.
When to use Agentgateway
Agentgateway is the right choice when your primary challenge is agent connectivity at infrastructure scale. If you're building multi-agent systems that need native MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocol support, Agentgateway is purpose-built for that — it's a connectivity fabric, not just an API proxy. It's Kubernetes-native with Gateway API integration, backed by the Linux Foundation, and written in Rust for high-throughput scenarios. If you need to manage how agents discover and communicate with each other, tools, and LLMs across a large infrastructure, Agentgateway is more architecturally appropriate than a governance proxy.
When to use Govyn
Govyn is the better choice when governance — not connectivity — is your primary concern. You need to control what agents are allowed to do: how much they can spend, which models they can access, when human approval is required, and what gets logged. Govyn's YAML policy files are simple to write and version in Git, and the proxy starts with a single command — no Kubernetes required. While Agentgateway focuses on the plumbing between agents, Govyn focuses on the rules. For teams that need budget enforcement, policy controls, and audit trails today without adopting a pre-alpha infrastructure platform, Govyn provides immediate, production-ready governance.
Migrating from Agentgateway
Assess your governance needs
Agentgateway and Govyn serve different roles. If you need agent connectivity (MCP/A2A routing), keep Agentgateway for that. Add Govyn alongside it for governance controls.
Deploy Govyn between agents and Agentgateway
Place Govyn in front of your LLM traffic. Agents route through Govyn for governance, and Govyn forwards to Agentgateway or directly to providers.
Define governance policies
Create a govyn.yaml with per-agent budgets, model restrictions, and rate limits. These complement Agentgateway's routing and connectivity features.
Try Govyn in 5 minutes
Open source, MIT licensed. One command to start governing your AI agents.
Other comparisons
A developer observability platform for AI agents with automatic tracing, session replay, cost tracking, and a cloud-hosted dashboard.
Open-source Python AI gateway that unifies 100+ LLM provider APIs behind an OpenAI-compatible interface with cost tracking, load balancing, and virtual key management.
An enterprise AI governance platform with policy management, compliance workflows, and risk scoring for AI deployments across the organization.
Explore more
SDK wrappers are door locks. Proxies are walls. A deep technical comparison of both governance architectures for AI agents in production.
INTEGRATIONAdd governance to any Python AI agent. Works with requests, httpx, and the OpenAI SDK. Budget limits, policy enforcement, full replay.
POLICY TEMPLATEAutomatically route AI agent requests to cheaper models when possible. Cut LLM costs by 60-80% with smart model routing policies.
POLICY TEMPLATEMaintain complete audit trails for AI agent operations. Log every request, response, and policy decision for regulatory compliance.