# Molio

> Molio — zhuzhaoyun-molio. Use this tool when you need to create a personalized knowledge base for AI agents, leveraging local-first architecture and integrating large language models, knowledge graphs, and workflows. Molio solves problems of knowledge fragmentation and agent training by providing a unified interface for building and managing evolving knowledge spaces. It accepts inputs from various sources, including git, and outputs a cohesive knowledge layer for AI agents to learn from and interact with.

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

## Description

A local-first personal knowledge layer for AI agents. Build evolving knowledge spaces with LLM Wiki, knowledge graphs, and agent workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-11-07

## Source

- **Source listing:** [GitHub](https://github.com/zhuzhaoyun/Molio)

## 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": "zhuzhaoyun-molio"
    }
  }
}
```

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