Agentgateway provides a high-performance, secure, and scalable data plane for AI agent communication, supporting interoperable protocols like Agent2Agent (A2A) and Model Context Protocol (MCP). It offers a drop-in solution for security, observability, and governance for agent-to-agent and agent-to-tool interactions, targeting developers and organizations building or managing AI agent systems.

How It Works

Written in Rust, Agentgateway is engineered for high performance and scalability. It implements a robust Role-Based Access Control (RBAC) system specifically for MCP/A2A communication and supports multi-tenancy with isolated resources and users. Dynamic configuration updates via xDS enable seamless, zero-downtime adjustments. It also includes legacy API transformation capabilities, currently supporting OpenAPI, to integrate older services into the MCP ecosystem.

Quick Start & Requirements

• Installation and usage instructions are detailed in the Getting Started Guide.
• The project is written in Rust.
• A built-in UI is available for exploring agent connections.

Highlighted Details

• Written in Rust for high performance.
• Security-first design with MCP/A2A RBAC.
• Multi-tenant architecture.
• Dynamic configuration updates via xDS.
• Legacy API support (OpenAPI, gRPC planned).

Maintenance & Community

The project is under active development with an open issue tracker for feature requests. Community meetings are held regularly, with recordings available on Google Drive.

Licensing & Compatibility

The license is not explicitly stated in the provided README.

Limitations & Caveats

gRPC support for legacy API transformation is listed as "coming soon." The project is in active development, suggesting potential for ongoing changes and feature additions.