Struggling To Track Ai Agents? This Open-source Tool Gives You A Single Source Of Truth

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ZDNET's cardinal takeaways

  • Solo's Agentregistry lets you way AI agents.
  • Solo offers open-source AI supplier devices to thief users and programmers.
  • The level could go nan instauration for managing AI agents.

AI agents person go a large woody successful a very short time. That's great, but really tin anyone perchance support way of them all? At Kubecon North America 2025 successful Atlanta, nan open-source, cloud-native institution Solo.io presented an answer. Idit Levine, laminitis and CEO of Agentregistry Solo, donated Agentregistry to nan Cloud Native Computing Foundation (CNCF) during her keynote speech.

Also: Cloud-native computing is poised to explode, acknowledgment to AI conclusion work

This motion followed Solo's earlier aid of AgentGateway, nan first information level built for AI agents, to nan Linux Foundation astatine the Open Source Summit Europe 2025 successful August. AgentGateway is an open-source task built to connect, secure, and observe agent-to-agent and agent-to-tool communication.

Complete agentic infrastructure stack

Agentregistry is an open-source level that delivers a centralized, trusted, and curated registry for AI applications, agents, and Agent Skills. The extremity is to streamline nan discovery, validation, and operationalization of AI supplier skills crossed divers frameworks and platforms. In short, nan level is meant to beryllium a "single root of truth" for supplier developers and users.

Agent Skills, meanwhile, is simply a model from AI elephantine Anthropic. The model consists of folders containing scripts and resources that you tin load into an supplier arsenic needed. Think of these resources arsenic instructions and recipes for AI agents, and you've sewage nan idea.

Also: Kubernetes, cloud-native computing's engine, is getting turbocharged for AI

Agentregistry is portion of a broader push by Solo.io to supply a complete agentic infrastructure stack, alongside projects specified arsenic Kagent and AgentGateway. Kagent is an open-source model for moving AI agents successful Kubernetes.

Levine, a erstwhile master hoops player, emphasized that "we're astatine an inflection constituent successful AI wherever agents are moving beyond elemental instrumentality calling to dynamically penning and executing their ain code." She noted that nan early will spot agents not only connecting to devices but besides autonomously generating, executing, and sharing caller skills pinch different agents, creating workflows antecedently intolerable successful accepted environments.

Essential for endeavor adoption

This level goes beyond nan community-created Model Context Protocol registry. It provides layers of security, governance, and rich | metadata management, which are considered basal for endeavor adoption. According to Solo.io's main merchandise officer, Keith Babo, Agentregistry "provides nan complete agentic infrastructure stack that enterprises request to bring AI to accumulation successful Kubernetes."

With context-aware features that merge pinch different Solo.io offerings, Agentregistry is positioned arsenic captious infrastructure for moving AI workflows successful cloud-native environments. Solo.io's attack is to make nan Kubernetes ecosystem "ready for nan future" of agentic AI, enabling easier guidance and unafraid distribution of modular AI capabilities.

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This is simply a large spread that Solo is trying to capable for organizations that request to securely publish, discover, share, and type AI agents and skills wrong a trusted environment. There is simply a existent request here. Thanks to their years of experience, Solo already has a bully estimation successful nan cloud-native space. Based connected that background, and nan connection of rima I heard astatine Kubecon, I expect Agentregistry to summation traction quickly.

Wild West

I deliberation we're still successful nan Wild West shape of deploying and integrating AI agents. Solo hopes to beryllium nan sheriff who brings rule and bid to this field.

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