How Agentgateway Solves Agentic AI’s Connectivity Challenges

How Agentgateway Solves Agentic AI’s Connectivity Challenges

The agentic AI space faces challenges around secure, governed connectivity between agents, tools, large language models, and microservices. To address this, Solo.io developed two open-source projects: Kagent and Agentgateway. While Kagent, donated to the Cloud Native Computing Foundation, helps scale AI agents, it lacks a secure way to mediate communication between agents and tools. Enter Agentgateway, donated to the Linux Foundation, which provides governance, observability, and security for agent-to-agent and agent-to-tool traffic. Written in Rust, it supports protocols like MCP and A2A and integrates with Kubernetes Gateway API and inference gateways.

Lin Sun, Solo.io’s head of open source, explained that Agentgateway allows developers to control which tools agents can access—offering flexibility to expose only tested or approved tools. This enables fine-grained policy enforcement and resilience in agent communication, similar to how service meshes manage microservice traffic. Agentgateway ensures secure and selective tool exposure, supporting scalable and secure agent ecosystems. Major players like AWS and Microsoft are also engaging in its development.

Learn more from The New Stack about the latest in open source projects like Agentgateway:

Learn more from The New Stack about the latest in open source projects like Agentgateway:

Why Tech Giants Are Backing the New Agentgateway Project

AI Agents Are Creating a New Security Nightmare for Enterprises and Startups

Five Steps to Build AI Agents that Actually Deliver Business Results

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