Linux Foundation Adopts Agentgateway Project to Boost AI Agent Ecosystem
The Linux Foundation welcomes the agentgateway project, an open-source AI-native proxy by Solo.io, to enhance connectivity, security, and observability in AI agent environments.
Open Source Summit Europe – The Linux Foundation, a nonprofit enabling mass innovation through open source, has officially welcomed the agentgateway project, an open-source AI-native proxy developed by Solo.io. This project aims to optimize connectivity, security, and observability in AI agent environments, addressing the limitations of existing gateways not designed for modern AI protocols.
Key Highlights
- Purpose-Built for AI Agents: Agentgateway is the first data plane specifically designed for AI agents, governing communication across agent-to-agent, agent-to-tool, and agent-to-LLM interactions.
- Supported Protocols: The project supports leading protocols like Agent2Agent (A2A) and Anthropic's Model Context Protocol (MCP). A2A was recently contributed to the Linux Foundation.
- Industry Collaboration: Contributors include major players like AWS, Cisco, IBM, Microsoft, and Red Hat.
Leadership Perspectives
- Jim Zemlin, Executive Director of the Linux Foundation, emphasized the need for open-source infrastructure to support AI agents: "The agentgateway project provides a centralized and secure management layer for AI agent interactions."
- Idit Levine, CEO of Solo.io, highlighted the project's innovation: "Existing API gateways weren’t designed for AI’s networking demands. Agentgateway is the connective tissue for intelligent systems."
Supporting Quotes
- John Roese, Dell’s Global CTO, noted: "Agentgateway bridges critical gaps in agent-to-agent and agent-to-MCP server communication."
- Chen Goldberg, CoreWeave’s SVP of Engineering, stressed: "Open gateways with governance are essential for scaling AI responsibly."
Project Accessibility
Explore the project on GitHub or join the discussion on Discord.
About the Linux Foundation
The Linux Foundation hosts critical open-source projects like Kubernetes, PyTorch, and RISC-V. Learn more at linuxfoundation.org.
Media Contact: pr@linuxfoundation.org
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Dr. Sarah Chen
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A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.