# me.pi22by7/in-memoria

> Use this tool when you need to retain context and knowledge across multiple interactions, enabling AI assistants to learn and recall information from previous sessions. It solves problems of knowledge loss and repetition, allowing for more efficient and personalized conversations. With input of codebase data and output of informed responses, use in-memoria in contexts where continuity and memory are crucial for effective AI assistance.

Canonical page: https://skillsregistry.net/skills/me-pi22by7-in-memoria  
JSON: https://api.skillsregistry.net/v1/skills/me-pi22by7-in-memoria

## Description

Persistent codebase intelligence that gives AI assistants memory across sessions

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.5.8
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/me.pi22by7%2Fin-memoria)

## 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": "me-pi22by7-in-memoria"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/me-pi22by7-in-memoria` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/me-pi22by7-in-memoria/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