# retavyn

> Use this tool when you need to maintain context and recall past information across sessions, as it provides persistent memory for AI agents, automatically storing and injecting memories to ensure seamless conversations. It solves problems of lost context and forgotten information, enabling more accurate and personalized interactions. Ideal for use cases requiring long-term memory and contextual understanding.

Canonical page: https://skillsregistry.net/skills/mbucknam-retavyn  
JSON: https://api.skillsregistry.net/v1/skills/mbucknam-retavyn

## Description

Retavyn provides persistent memory for Claude, automatically storing and injecting memories across sessions to maintain context and recall past information.

## Trust

- **Trust score (0–1):** 0.59
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l5ytptcchf)
- **Repository:** <https://github.com/mbucknam/retavyn>

## 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": "mbucknam-retavyn"
    }
  }
}
```

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