Manage agents, tools and skills at scale with AWS Agent Registry

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Most organizations scaling their use of agents and tools hit the same challenges. Teams build in isolation, with no shared record of what exists, who owns it, or whether it’s been reviewed. The problem has moved from building agents and tools to discovering and governing them. AWS Agent Registry is purpose-built to solve this. Now generally available, it gives teams a single, searchable, governed catalog for agents, tools, skills and custom resources in their environment. In this post, we cover what Registry is, walk through its core publishing, curation, and discovery workflows, explore enterprise considerations, and look ahead at what’s next. Why do enterprises need a registry As organizations scale their agentic AI systems, three key challenges emerge. No authoritative inventory When every team maintains their own collection of agents and tools in isolation, there’s no single record of what exists, who owns it, or whether it’s still actively maintained. The result is duplicative effort, version drift, and an ever-growing sprawl of untracked capabilities scattered across the organization. No cross-team discovery Even when great tools, agents, and skills exist, they go unused because developers on other teams can’t find them. Without a searchable catalog, the default is to rebuild what already exists. That’s wasted engineering effort, redundant infrastructure to maintain, and ongoing operational cost that scales with every team that builds in isolation. No governance or audit trail Without a central registry, there’s no way to track who has access to which …

Vollständiger Originalartikel ↗

• Betroffenheit im eigenen Stack prüfen: Versionen/Komponenten abgleichen.
• Originalquelle / Hersteller-Advisory lesen: https://aws.amazon.com/blogs/machine-learning/manage-agents-tools-and-skills-at-scale-with-aws-agent-registry/
• Verfügbaren Patch oder Workaround einspielen und dokumentieren.