Enterprise gateway comparison

Kong AI Gateway Alternative: Tygress vs Kong Compared

Kong is an established API gateway with a large plugin ecosystem, and Kong AI Gateway now ships as its own product. Tygress takes a different path: one self-hosted Rust gateway, on its own async transport, with API identity, AI governance, MCP, A2A, and post-quantum TLS in the same binary and the same policy chain.

Tygress is pre-release. Updated · Competitor details checked

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Why Tygress

Where Tygress differs from Kong

Tygress is not trying to recreate Kong's history or ecosystem. It is built around one problem: API, model, tool, and agent traffic need one identity and governance layer, without adding runtime and licensing boundaries for the AI parts.

No enterprise-only gateway features

Planned pricing puts every gateway capability in the $0 tier, including OIDC, LDAP, mTLS, JWE, OPA, the AI controls, and agent approvals; paid plans are managed cloud, support, and services. At Kong, OIDC, mTLS, and JWE are Enterprise features, and most AI plugins need an AI license.

Cost governance shaped like your organization

Virtual keys bound to operator-held provider keys, teams with a shared USD budget alongside each member's own, per-user limits keyed on verified JWT claims, an 80-model pricing catalog, and webhook alerts as spend crosses thresholds.

Guardrails on streamed replies

DLP and the prompt guard can inspect every chunk of a streamed reply, not just one buffered body. Provider translation and request signing run inside each retry and failover attempt, after redaction. Both follow from Tygress owning its transport.

Agent actions held at the gateway

MCP tool calls and A2A methods can wait at the gateway for a human decision, with a 45-second default timeout and default deny. Per-consumer MCP tool allowlists, REST and OpenAPI upstreams served as MCP tools, and A2A routing sit beside them.

Three LLM API formats on every provider

Clients reach all nine provider types through OpenAI Chat Completions, OpenAI Responses, or Anthropic Messages: natively where the provider offers the API, bridged through chat completions otherwise. Bridges refuse features they can't carry instead of dropping them.

Post-quantum TLS you can enforce

Both gateways offer hybrid ML-KEM key exchange, and Kong also ships ML-DSA certificates, which Tygress does not have. Tygress adds enforcement, which Kong does not document: a pqc_policy per listener or upstream and the pqc-guard plugin per route or consumer, plus a posture report mapped to PQC-migration deadlines.

For the general question, read AI gateway vs API gateway: do you need both?

Side by side

Tygress and Kong compared

Kong is the mature choice today. Tygress is the consolidated alternative for teams planning API and AI governance as one self-hosted platform.

Tygress compared with Kong Gateway and Kong AI Gateway
CapabilityTygressKong
AvailabilityPre-release: built and in active pre-1.0 development, not publicly available yetGenerally available; mature and widely deployed, with enterprise support
AI gateway modelBuilt into the same binary and policy chain as API trafficAI Gateway 2.x: Konnect-managed AI entities and policies; self-hosted runs the same AI plugins on Kong Gateway
Self-hosted control planeControl plane and data planes both run in your infrastructure: one binary, or split roles that sync over NATSGateway: traditional, DB-less, and hybrid modes. AI Gateway 2.x entities need a Konnect control plane; fully self-hosted AI runs as Gateway Enterprise plugins
Enterprise identityOIDC, LDAP/Active Directory, mTLS, OAuth2 introspection, JWT with remote JWKS, JWE, HMAC, basic and API keys, plus ACL and OPA; all in the planned $0 tierOSS (3.9.x; no new minor since December 2024): key auth, basic, HMAC, JWT, limited OAuth2 and LDAP. OIDC, mTLS, JWE, SAML, and full LDAP are Enterprise
Human approvals for agentsMCP tool calls and A2A methods held at the gateway for a decision; 45 s default timeout, default denyNo gateway-held approval step documented
MCP and A2AMCP proxy with per-consumer tool allowlists, MCP server aggregation, REST and OpenAPI upstreams as MCP tools, MCP authorization (RFC 9728), and A2A routing with Agent Card discoveryAI MCP Proxy, MCP OAuth2, and A2A Proxy (AI license) with per-consumer tool ACLs; first-class entities in AI Gateway 2.x
AI guardrailsPrompt guard plus regex DLP with Luhn and entropy checks: redact, block, or audit prompts, and redact streamed replies chunk by chunkAI Prompt Guard, semantic prompt and response guards, PII Sanitizer (external PII service), and cloud guardrail plugins; most need an AI license
AI cost controlsVirtual keys, token limits, USD budgets per consumer and team with threshold alerts, an 80-model pricing catalog, semantic cache, and quota-aware key pools with failoverToken and cost limits, semantic cache, load balancing, and LLM metrics via AI plugins; most need an AI license
Post-quantum TLSHybrid X25519MLKEM768 key exchange offered by default; enforceable per listener, upstream, route, or consumer; posture report. Key exchange only, no PQ certificatesHybrid ML-KEM key exchange and ML-DSA certificates announced September 2026 (non-FIPS builds); no PQ configuration or per-route enforcement documented
EngineRust, on Tygress's own async transport and request engine (hyper and rustls)NGINX-based gateway with Lua plugins
API trafficHTTP/1.1, HTTP/2, gRPC, gRPC-Web, gRPC-JSON transcoding, WebSocket, and TCP/UDP/TLS passthroughMature REST and API gateway with broad protocol and deployment support
Extensibility60+ built-in plugins, sandboxed proxy-wasm plugins, and inline Rhai or JavaScriptLarge established plugin ecosystem; plugin development kits for Lua, Go, Python, and JavaScript

The Tygress column reflects the current pre-release build; the changelog lists what has been built since June 2026. Kong cells were checked against Kong's own documentation and release posts on .

Choose Tygress when

Consolidation and self-hosting are the deciding factors

  • You want API, LLM, MCP, and A2A traffic under one identity and policy chain, in one self-hosted binary.
  • SSO, mTLS, AI governance, and a self-hosted AI control plane should not depend on an Enterprise or AI license tier.
  • Agent tool calls need a human decision at the gateway, denied by default.
  • Post-quantum TLS has to be enforced per route and reported on, not only negotiated.
  • You can plan around a pre-release product and validate it against your production requirements.

Choose Kong when

Maturity and ecosystem are the deciding factors

  • You need a proven gateway in production now; Tygress is not generally available.
  • Your organization already operates Konnect, Kong Gateway, or Kong's plugin ecosystem.
  • Enterprise support history and an established integration catalog outweigh runtime consolidation.
  • Your required AI capabilities and licenses fit cleanly into the Kong deployment you already run.
  • You need SAML, FIPS builds, or post-quantum certificates; Tygress has none of them.

FAQ

Tygress vs Kong questions

Is Tygress a Kong alternative?

Yes, for both Kong Gateway and Kong AI Gateway. Tygress covers the API gateway role: REST, gRPC, and WebSocket traffic with authentication, rate limiting, health checks, retries, failover, and 60+ built-in plugins. LLM routing, AI cost controls, guardrails, MCP, A2A, and post-quantum TLS run in the same binary and policy chain rather than as a separate product. Tygress is pre-release: the gateway is built and in active pre-1.0 development, but it is not publicly available yet.

What is the main difference between Tygress and Kong?

Architecture and packaging. Kong Gateway uses an NGINX and Lua architecture. Kong AI Gateway 2.x adds a Konnect-managed control plane whose AI entities compile to AI plugins on Kong data planes, which benefits from Kong's mature ecosystem. Tygress is a Rust gateway on its own async transport, with API and AI controls in one self-hosted binary and one policy chain. Its planned pricing puts every gateway capability, including SSO and AI governance, in the $0 tier.

Does Kong have an AI gateway?

Yes. Kong AI Gateway governs LLM, MCP, and A2A traffic. AI Gateway 2.x (GA September 2026) runs on its own release train with a Konnect-managed control plane and first-class AI Models, Providers, MCP Servers, and Agents; self-hosted deployments configure the same capabilities as AI plugins on Kong Gateway. It covers provider abstraction, load balancing, semantic caching, guardrails, PII sanitization, token and cost limits, observability, MCP, and A2A. Most advanced AI plugins are labeled "AI License Required", so compare the Kong licenses and deployment model you need with Tygress's built-in feature set.

Can Tygress be self-hosted like Kong?

Yes. Tygress is designed to run in a private VPC or on-premises, as one binary or as separate control-plane and data-plane roles that sync configuration over NATS. PostgreSQL and Redis are optional, depending on the features and topology you use. A distroless, non-root container image builds from source, and a Docker Compose reference stack runs NATS, a control plane, and two data planes; no image is published yet. Kong Gateway also supports self-managed traditional, DB-less, and hybrid modes; Kong AI Gateway 2.x entities need a Konnect control plane, and fully self-hosted AI runs as Gateway Enterprise plugins.

How does post-quantum TLS compare between Tygress and Kong?

Both offer hybrid post-quantum key exchange. Kong announced hybrid ML-KEM key exchange and ML-DSA certificates in September 2026, in non-FIPS builds; we found no Kong documentation for PQ configuration or per-route enforcement. Tygress offers X25519MLKEM768 (ML-KEM-768, NIST FIPS 203, combined with X25519) first by default on listeners and upstream connections, so PQ-capable peers negotiate it without configuration. A pqc_policy can require it per listener or upstream, the pqc-guard plugin enforces it per route or consumer, and a posture report maps certificates, key-exchange policy, and token algorithms to PQC-migration deadlines. Tygress has no post-quantum certificates.

When is Kong the better choice?

Kong is the stronger choice when production maturity, an established plugin ecosystem, existing Konnect investment, enterprise support history, or immediate availability matters most, and when you need SAML, FIPS builds, or post-quantum certificates. Tygress is the alternative for teams that want API and AI governance in one self-hosted binary, with no enterprise-only gateway features in its planned pricing, but it is not generally available yet.

Early access

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