# crystalline

> crystalline — jordiboehme-crystalline. Use this tool when you need to persist knowledge across AI agent sessions, leveraging local-first crystalline intelligence to capture and retrieve information as Markdown Domains and Engrams. It solves problems of knowledge retention and retrieval, providing a robust interface through a Rust binary with MCP server, CLI, and hybrid search capabilities. Ideal for use cases requiring durable knowledge storage, such as git-based projects and long-term AI training initiatives.

Canonical page: https://skillsregistry.net/skills/jordiboehme-crystalline  
JSON: https://api.skillsregistry.net/v1/skills/jordiboehme-crystalline

## Description

Local-first crystalline intelligence for AI agents: the knowledge that endures across sessions, taught as Markdown Domains and captured as Engrams. One Rust binary with MCP server, CLI and hybrid search.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jordiboehme/crystalline)

## 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": "jordiboehme-crystalline"
    }
  }
}
```

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