# Memory Bear

> Use this tool when you need to organize and retrieve information from markdown notes efficiently. The Memory Bear transforms notes into a searchable knowledge base, solving problems of information overload and disorganization, and provides outputs such as semantic search results, smart notes, and flashcards. It is ideal for use in contexts where AI assistants require access to structured and easily retrievable knowledge.

Canonical page: https://skillsregistry.net/skills/ag4852-memory-bear  
JSON: https://api.skillsregistry.net/v1/skills/ag4852-memory-bear

## Description

An MCP server that transforms markdown notes into a searchable knowledge base with semantic search, smart note creation, and flashcard management for AI assistants.

## Trust

- **Trust score (0–1):** 0.24
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h85616hfg6)
- **Repository:** <https://github.com/ag4852/memory-bear>

## 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": "ag4852-memory-bear"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag4852-memory-bear` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag4852-memory-bear/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