Linux Foundation Welcomes Solo.io's AgentGateway to Boost AI Connectivity and Security

August 25, 2025
Linux Foundation Welcomes Solo.io's AgentGateway to Boost AI Connectivity and Security
  • Agentgateway integrates with OpenTelemetry for observability and addresses security challenges like role-based access control and threat management in MCP communication.

  • Major industry players including AWS, Cisco, Huawei, IBM, Microsoft, Red Hat, Shell, and Zayo have contributed to the project, highlighting broad industry support.

  • Designed as a unified data plane, agentgateway manages agent-to-agent, agent-to-tool, and agent-to-large language model communications, addressing the limitations of traditional API gateways for AI networking.

  • The project’s source code is publicly available on GitHub, and community engagement is encouraged through Discord, fostering open collaboration and ongoing development.

  • The Linux Foundation has added the agentgateway project, developed by Solo.io, to its ecosystem to improve connectivity, security, and observability in AI agent environments, ensuring it remains open-source and community-driven.

  • Originally created by Solo.io, the agentgateway project was transferred to the Linux Foundation to promote vendor-neutral governance and support organic growth in AI infrastructure.

  • Industry leaders like John Roese and Chen Goldberg have emphasized the importance of purpose-built, vendor-neutral infrastructure for reliable AI agent communication, security, and governance.

  • The project supports essential AI communication protocols such as Agent2Agent (A2A) and Model Context Protocol (MCP), facilitating direct agent interactions and standardized data sharing.

  • Jim Zemlin, Linux Foundation executive director, highlighted that agentgateway provides a secure, centralized management layer that promotes open, interoperable, and secure AI systems under neutral governance.

  • Solo.io's CEO Idit Levine emphasized that agentgateway is specifically built to handle the protocols, patterns, and scale required for modern AI infrastructure, including high-volume inferencing APIs and diverse communication protocols.

Summary based on 3 sources


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