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Ornn
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Ornn

Active·★ 19·Apache-2.0·Updated 2026-07-20
★ Hidden Gem★ Essential

Ornn is an agent-facing skill lifecycle API — the npm registry and CLI fused into one, but for AI agent skills. Agents call Ornn directly over HTTP or MCP to search, pull, install, execute, build, upload, and share skills. It is model-agnostic, working with Claude, GPT, Gemini, or any custom runtime. Designed for agentic-system builders who want to manage reusable skills programmatically rather than hardcoding capabilities into each agent.

Ornn is currently grouped under Dev Tooling, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Full skill lifecycle: search, pull, install, execute, build, upload, share and Building an agentic system where agents can discover and install new capabilities at runtime. The listed license is Apache-2.0, which is useful when adoption constraints matter. It also shows measurable community traction with 19 GitHub stars.

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↗ Visit site★ GitHub
01

Features

01Full skill lifecycle: search, pull, install, execute, build, upload, share
02HTTP and MCP transport — agents call directly without human intermediation
03Model-agnostic: works with Claude, GPT, Gemini, or any custom runtime
04NyxID-based authentication for skill ownership and access control
05Web UI for skill owners and platform admins (secondary surface)
02

Why choose it

+Full skill lifecycle: search, pull, install, execute, build, upload, share
+Building an agentic system where agents can discover and install new capabilities at runtime
+Covers 3 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a Apache-2.0 license, which makes adoption and review easier.
03

Trade-offs

!This page does not list a concrete install command, so you may need to verify setup steps in the official docs before adopting it.
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Claude
Supported
Verified via docs
GPT
Supported
Verified via docs
MCP Clients
Native MCP
Verified via docs
05

Use cases

↳Building an agentic system where agents can discover and install new capabilities at runtime
↳Publishing reusable agent skills for other developers to consume via API or MCP
↳Managing a library of agent skills that multiple AI apps share
06

How it compares

≈Ornn sits in the Dev Tooling category, so it makes more sense to evaluate it alongside tools like fastmcp instead of in isolation.
≈If your main need is closer to "Building an agentic system where agents can discover and install new capabilities at runtime", that use case is a better lens for comparison than broad feature checklists alone.
≈Ornn uses a Apache-2.0 license, and community traction are both easier to judge in category context.
07

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Related searches

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Stats
GitHub Stars★ 19
Last commit1d ago
StatusActive
LicenseApache-2.0
CategoryDev Tooling
Trend (30d)
+0.7↑ 2.5%
Links
Documentation↗Discussion↗Issues↗Releases↗

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