# Memex

> Use this tool when you need to efficiently manage and expand a personal knowledge base, solving problems of information retrieval and organization. Memex enables AI agents to search, read, and add knowledge through various tools, handling inputs and outputs via kb_search, kb_read, and kb_add operations. It is particularly useful in contexts where automated knowledge management and curation are required, streamlining the process of creating and updating formatted entries.

Canonical page: https://skillsregistry.net/skills/galthran-wq-memex  
JSON: https://api.skillsregistry.net/v1/skills/galthran-wq-memex

## Description

Personal knowledge base MCP server enabling AI agents to search, read, and add knowledge via tools like kb_search, kb_read, and kb_add, with write operations handled through Cursor Cloud Agents that create formatted entries and open PRs.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o0rwtqy6ym)
- **Repository:** <https://github.com/galthran-wq/memex>

## 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": "galthran-wq-memex"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/galthran-wq-memex` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/galthran-wq-memex/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