TameFlare vs Agentgateway: Governance Stack vs Protocol Proxy

Two proxies, different missions

Both TameFlare and Agentgateway sit between AI agents and the APIs they call. Both intercept HTTP traffic. Both are open-source (or source-available). But they solve fundamentally different problems.

Agentgateway is a protocol proxy - it routes MCP and A2A traffic between agents and tool servers. Think of it as an API gateway for the MCP ecosystem. TameFlare is a governance stack - it enforces policies, isolates credentials, manages approvals, and creates audit trails for any HTTP traffic agents produce.

This post compares them honestly, including where Agentgateway has advantages.

At a glance

	TameFlare	Agentgateway
Maintainer	TameFlare (Danish company)	Solo.io (US, enterprise API infra)
Language	Go (gateway) + TypeScript (console)	Rust
License	Elastic License v2 (source-available)	Apache 2.0 (open-source)
Primary use case	Policy enforcement, credential isolation, audit	MCP/A2A protocol routing
Protocol support	Any HTTP/HTTPS + MCP (via connector)	MCP, A2A, OpenAPI
Deployment	Local cloud gateway + hosted dashboard	Kubernetes-native (via kgateway)
Maturity	v0.8, active development	72+ releases, 67 contributors

What Agentgateway does well

Native MCP/A2A support

Agentgateway was built for MCP from day one. It understands MCP's JSON-RPC protocol at a deep level - routing tool calls, managing server discovery, and handling the MCP lifecycle. It also supports the newer A2A (Agent-to-Agent) protocol.

If your primary need is MCP routing infrastructure, Agentgateway has a head start.

Kubernetes-native deployment

Agentgateway integrates with kgateway, Solo.io's Kubernetes gateway. This means it plugs directly into Kubernetes service mesh infrastructure. For teams already running kgateway, adding Agentgateway is a natural extension.

Apache 2.0 license

Agentgateway uses the Apache 2.0 license - fully open-source with no restrictions. TameFlare uses the Elastic License v2, which is source-available but prevents third parties from offering it as a managed service.

Community momentum

With 72+ releases and 67 contributors, Agentgateway has strong open-source momentum. Solo.io's enterprise backing gives it credibility with large organizations.

What TameFlare does that Agentgateway doesn't

Policy engine

TameFlare has a full policy engine that evaluates every action against configurable rules. You can write policies that:

Allow or deny specific action types (github.branch.delete → deny)

Require human approval for high-risk actions (github.pr.merge → require approval)

Apply conditions based on parameters (branch = main → deny pushes)

Set risk scoring heuristics (delete/execute = high risk, reads = low risk)

Agentgateway routes traffic. TameFlare decides whether traffic should be allowed.

Credential isolation

In TameFlare, agents never see real API keys. Credentials are stored in an AES-256-GCM encrypted vault and injected by the proxy into approved requests at request time.

Agent → TameFlare proxy (injects credentials) → GitHub API
          ↑
  Agent never sees GITHUB_TOKEN

Agentgateway does not have a credential vault. API keys are typically configured in the MCP server or passed by the agent directly.

Human-in-the-loop approvals

TameFlare can hold a request at the proxy and wait for human approval before forwarding it. Approvals can be triggered by policy rules and delivered via Slack, the dashboard, or the CLI.

This is critical for high-risk operations: merging PRs, deleting resources, making payments. The agent's request is paused, not rejected - once approved, it continues automatically.

Agentgateway does not have an approval workflow.

Audit trail

Every action through TameFlare is logged with:

Action type (e.g., github.pr.create)

Policy match (which rule applied)

Decision (allow/deny/require approval)

Timestamp, agent ID, connector

Request and response metadata

This creates a compliance-ready audit trail. Agentgateway logs traffic but doesn't have structured action-level audit with policy attribution.

Kill switch

TameFlare has a scoped kill switch that can instantly block all traffic for a specific agent, connector, or globally. This is an emergency stop for runaway agents.

Agentgateway does not have a kill switch mechanism.

When to use which

Use TameFlare when:

You need policy enforcement - rules about what agents can and cannot do

You need credential isolation - agents should never see real API keys

You need human-in-the-loop approvals - high-risk actions require human sign-off

You need a compliance audit trail - structured logs with policy attribution

You work with any HTTP API - not just MCP

You want a hosted dashboard - visual policy builder, traffic viewer, agent management

Use Agentgateway when:

You need MCP/A2A protocol routing - deep protocol-level features

You run Kubernetes - native integration with kgateway and service mesh

You need Apache 2.0 licensing - no restrictions on usage or distribution

You want community-driven development - large contributor base, frequent releases

Your primary concern is routing, not governance

Use both when:

You need MCP routing infrastructure (Agentgateway) AND policy enforcement (TameFlare)

Agentgateway handles protocol routing; TameFlare handles governance

They can run in series: Agent → Agentgateway (MCP routing) → TameFlare (policy enforcement) → API

Honest assessment

Agentgateway is more mature as an open-source project. It has more contributors, more releases, and deeper MCP protocol support. If your primary need is MCP infrastructure, Agentgateway is the better choice today.

TameFlare is more complete as a governance stack. If your primary need is controlling what agents can do - policies, approvals, credential isolation, audit - TameFlare covers more ground.

The two tools are complementary, not competitive. MCP routing and governance enforcement are different layers of the agent infrastructure stack.

Next steps

Create a free TameFlare account - 3 gateways, 1,000 actions/month

TameFlare quickstart - get running in under 5 minutes

Agentgateway GitHub - explore the MCP/A2A proxy