From registry to runtime.

Fast development, curated artifacts.

For Organizations

Curate & Deploy

Package, collect, and enrich AI artifacts from any source in a single centralized registry

Organization workflow diagram
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  • Centralized Control – Package and collect AI artifacts from any source into a single registry
  • Security & Governance – Curate and approve agents, servers, and skills before company-wide deployment
  • Managed Hosting – Deploy and host artifacts for seamless consumption across teams
  • Enriched Metadata – Add context to help assess trustworthiness and security
For Developers

Build & Publish

Build, test, and publish and deploy AI artifacts with minimal dependencies

Developer workflow diagram
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  • Local Development – Create and test agents, skills, and MCP servers locally
  • Easy Publishing – Publish your artifacts to a registry with a single command
  • Pull & Run Anywhere – Pull artifacts from the registry and run them in any environment instantly
  • Collaboration – Share your work with other developers and build on their artifacts

A Centralized Registry for AI Artifacts

Enriched Data

Import AI artifacts from any registry into agentregistry, where automatic scoring and validation enrich datasets to provide additional insights to registry operators.

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Controlled Curation

Operators can curate a custom collection of AI artifacts within agentregistry and selectively publish and deploy artifacts to maintain audit control and security of assets.

Build Fast

Drive developer velocity and build AI applications fast by enabling developers to create, run, publish, and deploy agents, MCP servers, and skills.

How It Works

A complete lifecycle for AI artifacts

1

Import

Collect AI artifacts from any source

2

Curate

Review curated artifacts and publish to the registry

3

Deploy

Deploy approved artifacts on managed infrastructure

4

Consume

Pull and run with a single command

What You Can Build

agentregistry supports all your AI artifact types

AI Agents

Autonomous agents that can reason, plan, and execute tasks

MCP Servers

Model Context Protocol servers for extended AI capabilities

Skills

Reusable capabilities and functions for your AI applications

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LLMs

Large language models for easy consumption by agents

Join the agentregistry community

Build the future of AIOps and AI application development with us.