# Cairn

> Cairn — vellixia-cairn. Use this tool when you need to enhance the reliability and context of AI agents with a self-hosted solution, providing features like memory, lean context, and guardrails to ensure seamless multi-device synchronization. It solves problems related to AI agent consistency and data management across devices. With a simple Rust binary interface, Cairn integrates easily with version control systems like git.

Canonical page: https://skillsregistry.net/skills/vellixia-cairn  
JSON: https://api.skillsregistry.net/v1/skills/vellixia-cairn

## Description

The open-source context & reliability layer for AI agents — memory, lean context, guardrails, and multi-device sync in one self-hosted Rust binary.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/Vellixia/Cairn)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vellixia-cairn"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vellixia-cairn` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vellixia-cairn/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt