# Obsidian Memory

> Use this tool when you need to visualize and explore AI conversation context in a knowledge graph format. It solves the problem of navigating complex AI memories by transforming JSON-based data into Markdown files optimized for Obsidian's graph view, allowing for seamless integration with existing Obsidian vaults. It takes AI conversation data as input and outputs a network of interconnected Markdown files with metadata and relations, enabling natural graph visualization and exploration.

Canonical page: https://skillsregistry.net/skills/yunaga224-obsidian-memory  
JSON: https://api.skillsregistry.net/v1/skills/yunaga224-obsidian-memory

## Description

This MCP server stores AI memories as individual Markdown files optimized for Obsidian's graph view visualization, transforming Anthropic's original JSON-based memory server into a format that leverages Obsidian's [[link]] syntax for knowledge graph exploration. Built by YuNaga224 using TypeScript with the Model Context Protocol SDK and gray-matter for YAML frontmatter parsing, it creates separate .md files for each entity with metadata stored in frontmatter and relations expressed as Obsidian-compatible links, enabling natural graph visualization of AI conversation memories. The implementation provides tools for entity creation, relation management, observation tracking, and graph querying while maintaining file-based persistence that integrates seamlessly with existing Obsidian vaults, making it valuable for users who want to visualize and explore AI conversation context through Obsidian's powerful graph view and note-taking ecosystem.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/yunaga224-obsidian-memory)
- **Repository:** <https://github.com/yunaga224/obsidian-memory-mcp>

## 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": "yunaga224-obsidian-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yunaga224-obsidian-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yunaga224-obsidian-memory/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