# Muninn

> Use this tool when you need to retain knowledge and learnings across multiple coding sessions, enabling AI agents to recall previous decisions, bugs, and fragility assessments for improved development efficiency. Muninn provides persistent memory via MCP, allowing agents to build on past experiences and make more informed decisions. Ideal for use cases requiring continuity and knowledge retention, such as iterative coding and debugging tasks.

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

## Description

Provides persistent memory for AI coding agents via MCP, allowing them to recall fragility, decisions, and bugs across sessions.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ixi50gupbr)
- **Repository:** <https://github.com/ravnltd/muninn>

## 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": "ravnltd-muninn"
    }
  }
}
```

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