# memorycrystal

> memorycrystal — nativist-rossini671-memorycrystal. Use this tool when you need to retain context and knowledge across conversations and sessions for AI agents. It solves the problem of information loss and inconsistent decision-making by storing persistent memory, allowing agents to make informed decisions based on previous interactions. The memorycrystal tool accepts input from AI sessions and outputs stored knowledge, integrating with version control systems like Git for seamless management.

Canonical page: https://skillsregistry.net/skills/nativist-rossini671-memorycrystal  
JSON: https://api.skillsregistry.net/v1/skills/nativist-rossini671-memorycrystal

## Description

Store persistent memory for AI agents so every conversation, decision, and session stays informed

## Trust

- **Trust score (0–1):** 0.39
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/nativist-rossini671/memorycrystal)

## 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": "nativist-rossini671-memorycrystal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nativist-rossini671-memorycrystal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nativist-rossini671-memorycrystal/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