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Basic Information

Agentgateway is an open source data plane designed to provide connectivity, security, observability, and governance for agentic AI systems. It is built to sit within or across agent frameworks and environments and to handle agent-to-agent and agent-to-tool communication. The project targets developers and operators who need a scalable, interoperable proxy layer that supports industry protocols such as Agent2Agent (A2A) and the Model Context Protocol (MCP). The repository contains the Rust-based implementation, a built-in UI for exploring agent connections, documentation links, and guidance for getting started, contributing, and joining community meetings. It aims to be deployable from a single machine up to large multi-tenant environments and to integrate legacy APIs as MCP resources.

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App Details

Features
Agentgateway lists several core capabilities in its README. It is highly performant and implemented in Rust for scale. Security-first design includes an MCP/A2A-focused role-based access control (RBAC) system. The project supports multi-tenant deployments where tenants have isolated resources and users. Dynamic configuration updates are supported via xDS without downtime. It is framework-agnostic and can run anywhere, from single hosts to large clusters. Legacy API transformation into MCP resources is supported today for OpenAPI with gRPC planned. The repository provides a built-in UI for exploration, published documentation, community meetings, and an Apache-2.0 license for open contribution.
Use Cases
Agentgateway helps teams build and operate agentic AI systems by providing a dedicated connectivity layer that addresses common cross-cutting concerns. It removes the need for each agent or tool to implement its own security, access control, observability, and protocol translation by offering drop-in capabilities that work across frameworks. The multi-tenant model and dynamic xDS configuration simplify managing many agents and live updates without downtime. Legacy API support eases integration with existing services by exposing them as MCP resources. The built-in UI and documentation accelerate exploration and onboarding, while community resources and contribution guidance enable collaboration and extension.

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