# Mimir

> Mimir — hasil7677-mimir. Use this tool when you need to enable AI agents with persistent memory, storing facts and transcripts for seamless recall and editing. Mimir solves the problem of knowledge retention and synchronization by utilizing markdown files in an Obsidian vault, allowing for manual editing and immediate effect. It is ideal for use cases requiring continuous learning and knowledge updates, providing a straightforward interface for inputting and outputting stored information.

Canonical page: https://skillsregistry.net/skills/hasil7677-mimir  
JSON: https://api.skillsregistry.net/v1/skills/hasil7677-mimir

## Description

Enables AI agents to have persistent memory by storing facts and transcripts as markdown files in an Obsidian vault, allowing manual editing and immediate effect without sync.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ogfwq155lz)
- **Repository:** <https://github.com/hasil7677/mimir>

## 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": "hasil7677-mimir"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hasil7677-mimir` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hasil7677-mimir/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