Curate & Deploy
Package, collect, and enrich AI artifacts from any source in a single centralized registry
- 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
- Enriched Metadata – Add context to help assess trustworthiness and security
Build & Publish
Build, test, and publish and deploy AI artifacts with minimal dependencies
- 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
- Discover & Consume – Find new artifacts to add to registry or optimize existing artifacts
See It In Action
Learn how to create an Anthropic Skill, publish it to agentregistry, and use it in Claude Code
In this video, you'll learn how to use agentregistry to create an Anthropic Skill, push and publish it to the agentregistry and then pull it and use it in Claude Code.
Bring control and velocity to your AI infrastructure
Enriched Data
Import AI artifacts from any registry into Agentregistry, where automatic scoring and validation enriches datasets and delivers deeper insights for operators.
Controlled Curation
Build curated artifact collections within agentregistry. Publish items selectively, and maintain end-to-end audit and control from a centralized registry.
Build Fast
Accelerate applications to production by empowering developers to create, run, and deploy agents, MCP servers, and skills from agent registry with confidence
How It Works
A complete lifecycle for AI artifacts
Import
Collect AI artifacts from any source
Curate
Review curated artifacts and publish to the registry
Deploy
Deploy approved artifacts on managed infrastructure
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
LLMs
Large language models for easy consumption by agents
Join the agentregistry community
Build the future of AIOps and AI application development with us.
