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Agentgateway
Next Generation Agentic Proxy for AI Agents and MCP servers
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01
At a glance.
A compact read before the deeper capability notes and official setup links.
02
Core features.
Feature cards focus on what the tool helps users do, not generated setup commands.
The first complete connectivity solution for Agentic AI.
Route traffic to major LLM providers (OpenAI, Anthropic, Gemini, Bedrock, and more) through a unified OpenAI-compatible API with budget and spend controls, prompt enrichment, load balancing, and failover.
Connect LLMs to tools and external data sources via MCP with tool federation, stdio/HTTP/SSE/Streamable HTTP transports, OpenAPI integration, and OAuth authentication.
Enable secure agent-to-agent communication using A2A, with capability discovery, modality negotiation, and task collaboration.
Depending on your deployment environment, check out the following docs:
agentgateway.dev/docs: For standalone deployments such as local or on-prem.
These docs are for this upstream agentgateway/agentgateway GitHub project.
agentgateway.dev/docs/kubernetes/latest: For Kubernetes-based deployments using the built-in Kubernetes controller and Gateway API support.
04
Agent / Skill / MCP / Workflow fit.
This panel keeps technical format separate from the user-facing AI category.
05
Official setup path.
Generated install snippets are intentionally not mirrored here because they drift. The page links to source-owned setup docs instead.
06
Evidence and adoption notes.
These notes help a user decide whether to investigate the official project further.
Source repository last pushed at 2026-05-12T17:53:20Z.
Generated from source metadata; confirm operational details in the official project before adopting it.
Review the upstream license, maintenance activity, and issue history before using it in production.
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