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agentgateway

What agentgateway is
agentgateway is an open-source gateway for handling HTTP and gRPC traffic across services, language models, MCP tools, and agent runtimes. It can route requests to model providers through an OpenAI-compatible API, including OpenAI, Anthropic, Bedrock, Gemini, Vertex, and OSS Llama runs. For self-hosted inference, it supports vLLM, TGI, and Triton, with routing informed by latency, cost, and model. MCP features include server discovery, scoped tool calls, and audit trails; A2A routing connects runtimes such as LangChain, CrewAI, and ADK. Security controls include JWT and OIDC, API keys, authorization policies, TLS and mTLS, certificate rotation, and rate limiting. Guardrails check MCP calls and responses for prompt injection or unsafe payloads, while prompt guards can check and redact. Observability includes OpenTelemetry, Prometheus token-usage histograms, Jaeger traces, and request logs with latency, token counts, and realized USD cost. It also provides per-key or per-team spend caps and a dashboard grouped by model, provider, and user. The gateway is free and self-hosted, deployable as a binary, in Docker, or on Kubernetes.
Who it suits
It suits platform engineers and tool-builders who need to route and govern service, model, or agent traffic. The listed controls also target platform teams managing security, observability, and spend.
What it does well
- Free open-source gateway with binary, Docker, or Kubernetes deployment.
- OpenAI-compatible routing includes multiple named model providers.
- MCP discovery, scoped calls, audit trails, and A2A routing.
- Spend caps and usage dashboards support cost controls.
- TLS and mTLS, auth policies, and rate limiting.
What to know first
- Self-hosted deployment is required.
- Commercial support is listed through a partner.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| agentgateway (open source) | Open-source gateway; binary, Docker, or Kubernetes deployment | Free |
As agentgateway.dev lists them, read 2 Oct 2026. The maker's own page has the final word.
Getting started
- Visit https://agentgateway.dev/.
- Choose the free open-source gateway.
- Select standalone binary, Docker, or Kubernetes deployment.
- Configure the gateway for your service, model, MCP, or agent traffic.
Overview
agentgateway is an open-source HTTP and gRPC gateway for service, model, and agent traffic. It suits platform teams that want to govern AI workloads on infrastructure they operate. Its broad controls make it a strong fit for self-managed deployments, but not for buyers seeking a hosted gateway.
Key features
An OpenAI-compatible API routes requests to hosted providers including OpenAI, Anthropic, Bedrock, Gemini, and Vertex, as well as open-source Llama runs. For teams running inference themselves, it supports vLLM, TGI, and Triton, with routing informed by latency, cost, and model. That range is useful when workloads span providers and hosting models; teams using a single simple API may not need this gateway’s operational scope.
For agent workflows, MCP server discovery, scoped tool calls, and audit trails sit alongside A2A routing between runtimes such as LangChain, CrewAI, and ADK. MCP guardrails inspect calls and responses for prompt injection and unsafe payloads, while prompt guards support checks and redaction. These are relevant controls for teams exposing tools to agents, though they still require operators to set and maintain suitable policies.
Security features include JWT and OIDC, API keys, authorization policies, TLS and mTLS with certificate rotation, and rate limiting. Observability includes OpenTelemetry, Prometheus token-usage histograms, Jaeger traces, and request logs with latency, token counts, and realized USD cost. Scoped virtual keys and per-key or per-team token and dollar caps help constrain spend; a dashboard groups usage by model, provider, and user. Together, these features give platform teams visibility and controls across traffic, but they come with the responsibility of running and configuring the gateway.
Model integrations include OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Mistral, DeepSeek, Ollama, Vertex AI, xAI, and Snowflake. Deployment can be a standalone binary, Docker container, or Kubernetes workload. The project was created by Solo.io and is an AAIF project; enterprise commercial support is offered through partners, including Solo.io’s 24×7 coverage, upstream collaboration, and best-practice guidance.
Pricing
The open-source gateway costs nothing. The free plan includes the gateway and supports binary, Docker, or Kubernetes deployment. It is a practical starting point for teams able to operate self-hosted software; there is no paid self-hosted tier described for buyers who want a different level of included service. Partner-provided commercial support is a separate option, with custom pricing.
Platforms
agentgateway is available for API and Linux environments and is self-hosted. Its binary, Docker, and Kubernetes deployment choices suit infrastructure teams that want deployment flexibility, but do not make it a managed service.
Who it's for
Tool-builders, platform engineers, and AI enthusiasts are the natural audience, particularly teams handling both model requests and agent-tool traffic. Teams that need routing, security, observability, and spend controls under their own operational control can make use of its breadth. It is a less suitable choice for organizations that want a provider to host and run the gateway.
Pros and cons
- Pro: A free, open-source gateway spans hosted LLM providers, self-hosted inference, MCP, and A2A traffic, making it relevant to mixed AI infrastructure.
- Pro: Security controls, tool-call guardrails, traces, request logs, and spend caps address operational and governance needs in one gateway.
- Pro: Binary, Docker, and Kubernetes options give teams several ways to run it.
- Con: Self-hosting means the team must operate the gateway and its policies rather than relying on a managed service.
- Con: The feature set is oriented toward platform operations; teams seeking only a straightforward hosted API may find the scope excessive.
Alternatives
For a wider set of Kubernetes ingress options, compare the Kubernetes Ingress Controllers directory.
- ngrok is worth considering when a freemium option with a free trial and online endpoints is a better fit; its free plan includes up to 3 online endpoints and up to 1GB data transfer.
- Kusk Gateway is another free, fully open-source option under the MIT License.
- BFE Ingress Controller offers a free Apache 2.0-licensed open-source option.
- Traefik Proxy is a free open-source choice combining ingress control, reverse proxying, load balancing, and service auto-discovery.
- HAProxy Ingress is a free option for Kubernetes clusters; version 0.16 requires Kubernetes 1.21 or newer.
- Higress offers a self-hosted community edition with community support and documentation, while users handle stability and performance.
- NGINX Gateway Fabric is a free Kubernetes deployment with Gateway API support that varies by resource.
- Airlock Microgateway has a community edition for small environments or local development, with enforced throughput and a six-month license validity.
Verdict
Choose agentgateway if your platform team needs one self-hosted layer for model and agent traffic, especially when spend controls and security matter alongside routing. Its breadth and free open-source plan are the case for it; the need to run and govern the gateway yourself is the clearest reason to choose another approach.
Verdict
agentgateway brings routing, security, observability, and spend controls for model and agent traffic into a self-hosted gateway. Its free plan and multiple deployment options are useful for teams prepared to operate it themselves.
Questions
Is agentgateway free?
Yes. The open-source gateway plan is free.
Where can I deploy it?
It is self-hosted and can run as a standalone binary, in Docker, or on Kubernetes.
Which model providers are listed?
Integrations include OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Mistral, DeepSeek, Ollama, Vertex AI, xAI, and Snowflake.
Does it support MCP and agent-to-agent routing?
Yes. It supports MCP server discovery, scoped tool calls, and audit trails, as well as A2A routing between runtimes including LangChain, CrewAI, and ADK.
Who created the project?
The project was originally created by Solo.io and is an AAIF project.
Is commercial support available?
The enterprise page lists partner-provided commercial support, including a Solo.io offer with 24×7 coverage, upstream collaboration, and best-practice guidance.
Facts from agentgateway's own pages
- A2A support
- The A2A gateway supports capability discovery, modality negotiation and long-running task collaboration between agents. · agentgateway.dev, 19 Oct 2026
- API and configuration
- Standalone deployments use flat YAML configuration, while Kubernetes deployments use a controller, Gateway API resources and documented API references. · github.com, 19 Oct 2026
- Authentication
- Documented authentication methods include JWT, API keys, basic authentication and MCP authentication specifications. · agentgateway.dev, 19 Oct 2026
- Authorization
- Fine-grained authorization uses role-based policies and the CEL expression engine. · agentgateway.dev, 19 Oct 2026
- Binary installation
- The official installer is a curl script that downloads a release binary, verifies its checksum and installs it into /usr/local/bin. · agentgateway.dev, 19 Oct 2026
- Company origin
- Solo.io originally created agentgateway and donated it to the Linux Foundation in August 2025. · linuxfoundation.org, 19 Oct 2026
- Cost controls
- Virtual keys, token and dollar caps, model cost catalogs and dashboards attribute and enforce agent spending. · agentgateway.dev, 19 Oct 2026
- Deployment
- The project provides standalone binary, Docker and Kubernetes deployment paths. · agentgateway.dev, 19 Oct 2026
- Documentation
- Documentation is split into standalone and Kubernetes sites with quickstarts, integration guides, configuration references and API documentation. · github.com, 19 Oct 2026
- Enterprise support
- Solo Enterprise for agentgateway advertises 24×7 coverage, upstream collaboration and operational guidance. · agentgateway.dev, 19 Oct 2026
- Guardrails
- Guardrails include regex checks, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor and custom webhooks. · github.com, 19 Oct 2026
- Inference
- Self-hosted inference routing supports vLLM, TGI, and Triton, with latency-aware, cost-aware, and model-aware routing. · agentgateway.dev, 2 Oct 2026
- Inference routing
- Kubernetes Inference Gateway extensions route self-hosted models using GPU utilization, KV-cache use, LoRA adapters and work-queue depth. · agentgateway.dev, 19 Oct 2026
- Integrations
- Official integration categories cover identity providers, AWS, Google Cloud, Azure, LLM providers, MCP, networking tools, agent frameworks and NetBird. · agentgateway.dev, 19 Oct 2026
- Intended users
- The site invites tool-builders, platform engineers, and AI enthusiasts to join the community and describes the controls as suited to platform teams. · agentgateway.dev, 2 Oct 2026
- Licence
- The open-source project is licensed under Apache-2.0. · github.com, 19 Oct 2026
- Limit: fast-changing configuration
- An independent review cautioned that the project is actively developing and its configuration surface is not yet stable. · hysenlabs.com, 19 Oct 2026
- Limit: insecure defaults
- A hands-on review found optional API-key authentication, fail-open deny expressions and an unauthenticated localhost admin interface as defaults requiring hardening. · aitamer.news, 19 Oct 2026
- Limit: operational complexity
- A reviewer said the Kubernetes controller and policy model add too much machinery for a single service with one model provider and a fixed tool list. · mrkeyoor.com, 19 Oct 2026
- LLM gateway
- It offers one OpenAI-compatible interface for providers including OpenAI, Anthropic, Gemini and Bedrock, with budgets, failover and load balancing. · github.com, 19 Oct 2026
- LLM routing
- Its LLM gateway provides an OpenAI-compatible API for providers including OpenAI, Anthropic, Bedrock, Gemini, Vertex, and OSS Llama runs. · agentgateway.dev, 2 Oct 2026
- Maker company facts
- Solo.io is listed on LinkedIn as founded in 2017, headquartered in Cambridge, Massachusetts, with 51–200 employees. · linkedin.com, 19 Oct 2026
- Maker legal name
- Crunchbase lists the maker as solo.io, Inc. · crunchbase.com, 19 Oct 2026
- MCP and A2A
- The gateway supports MCP server discovery, scoped tool calls and audit trails, and A2A routing between LangChain, CrewAI, ADK, and other runtimes. · agentgateway.dev, 2 Oct 2026
Where agentgateway stands on Freedom251
- Kubernetes Ingress Controllers#1 of 28
- Tool Calling#1 of 21
