Agentgateway – One high-performance gateway for service, LLM, and MCP traffic (agentgateway.dev)

Agentgateway has announced a high-performance, open-source gateway designed to streamline the routing and management of HTTP, gRPC, and TCP traffic for both traditional applications and AI-native services. This unified gateway facilitates seamless communication among various LLM providers such as OpenAI and self-hosted models while supporting Model Context Protocol (MCP) and agent-to-agent communications in a single data plane. With built-in security features like mTLS, OIDC, and robust policy governance, Agentgateway ensures safety and observability across all service interactions. The significance of this development lies in its potential to simplify the architecture for AI/ML applications, allowing teams to efficiently manage and observe their AI traffic without the complexity of integrating multiple gateways. Agentgateway provides key technical features such as latency-aware routing to optimize cost and performance, detailed logging for debugging, and flexible cost management tools to control AI usage expenses. With quick deployment options and extensive functionality, Agentgateway empowers organizations to enhance their AI workflows and achieve better operational oversight while minimizing costs.