Struggling to track AI agents? This tool gives you a single source of truth (www.zdnet.com)

Solo.io has released Agentregistry, an open-source, centralized registry designed to be a “single source of truth” for AI applications, agents, and Anthropic-style Agent Skills. The platform curates, validates and indexes modular agent skills—folders of scripts and resources that agents load at runtime—so developers and operators can discover, version, and securely distribute capabilities across frameworks. Agentregistry complements Solo.io’s agentic stack (Kagent for running agents in Kubernetes and AgentGateway for connectivity), and extends beyond community efforts like the Model Context Protocol by adding governance, rich metadata, and context-aware integrations. For the AI/ML community and enterprises, Agentregistry matters because it addresses operational and security gaps that stop agent deployments from scaling in production: provenance, access control, metadata-driven discovery, and version management. That becomes critical as agents evolve from tool-calling to autonomously writing, executing, and sharing new skills—workflows Solo.io anticipates and designs Kubernetes-native infrastructure to support. Backed by Solo.io’s cloud-native pedigree and early KubeCon interest, Agentregistry aims to bring order and enterprise-grade controls to the current “Wild West” of agent development and distribution.