# io.github.pi22by7/in-memoria

> Use this tool when you need to enable AI assistants to retain memory across sessions, providing persistent codebase intelligence to inform future interactions. It solves problems of knowledge loss and context switching, allowing for more effective and personalized support. By integrating with AI systems, it accepts input from previous conversations and outputs informed responses, making it ideal for use cases requiring continuity and contextual understanding.

Canonical page: https://skillsregistry.net/skills/io-github-pi22by7-in-memoria  
JSON: https://api.skillsregistry.net/v1/skills/io-github-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:** 0.5.7
- **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/io.github.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": "io-github-pi22by7-in-memoria"
    }
  }
}
```

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

---
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