# memtomem

> memtomem — memtomem-memtomem. Use this tool when you need to efficiently search and retrieve information from large repositories of markdown and code files, leveraging hybrid BM25 and semantic search capabilities to provide accurate results. It solves problems of knowledge management and information retrieval for AI agents, allowing them to access and build upon existing knowledge bases. The tool accepts markdown and code files as input and returns relevant search results, making it ideal for use cases involving long-term memory infrastructure and knowledge retrieval.

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

## Description

Markdown-first, long-term memory infrastructure for AI agents. Hybrid BM25 + semantic search across markdown/code files via MCP.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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/memtomem/memtomem)

## 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": "memtomem-memtomem"
    }
  }
}
```

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