All 68 Dependencies
Every package agentgateway depends on, ranked by repo health score.
agentgateway is a next-generation open source proxy purpose-built for the agentic AI era. Written in Rust for performance and reliability, it sits between your AI agents and the services they depend on — LLM providers, MCP tool servers, and other agents — enforcing security policies, capturing telemetry, and managing traffic without requiring changes to your agent framework or model provider.
Unlike traditional API gateways retrofitted for AI, agentgateway speaks AI-native protocols natively. It implements the Model Context Protocol (MCP) in full, including stdio, HTTP, SSE, and Streamable HTTP transports, allowing any MCP-compatible client to discover and call tools through a single federation point. Its A2A gateway layer enables structured agent-to-agent communication with capability discovery and modality negotiation. And its LLM gateway exposes a unified OpenAI-compatible API that routes transparently to OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure OpenAI, and custom model endpoints.
agentgateway brings enterprise-grade infrastructure concerns to AI workloads: multi-layered guardrails (regex, OpenAI moderation, AWS Bedrock Guardrails, Google Model Armor), fine-grained RBAC backed by a CEL policy engine, JWT and OAuth authentication, budget and spend controls with per-token cost tracking, and full OpenTelemetry metrics, logs, and tracing. It runs as a standalone binary, integrates with Kubernetes via the Gateway API and a built-in controller, and ships with a built-in React UI for exploring gateway configuration and live traffic.
As a Linux Foundation project with an active release cadence and growing contributor community, agentgateway is positioned as the connective infrastructure layer for production agentic systems — providing the same observability and control plane capabilities that service meshes brought to microservices, now applied to the fast-moving world of AI agents.
