# Memex

> Use this tool when you need to manage and search a knowledge base of technical guides and AI interaction patterns. Memex solves the problem of accumulating and querying knowledge by providing a structured interface for creating, retrieving, and semantically searching markdown-based content. It is ideal for developers and teams looking to organize and leverage their technical documentation and AI prompts through a local file system structure with vector embedding-based search capabilities.

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

## Description

MEMEX is an MCP server for managing a knowledge base of technical guides and contexts (prompts/personas/conventions), inspired by Vannevar Bush's vision of augmented memory. Built in PHP with Symfony components, it provides tools for creating, retrieving, updating, deleting, listing, and semantically searching markdown-based content stored in a local file system structure. The implementation uses vector embeddings for semantic search capabilities and supports both guides (technical documentation) and contexts (AI prompts and personas), making it useful for developers and teams who want to maintain and query their accumulated knowledge and AI interaction patterns through a structured, searchable interface.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jacquesbh-memex)
- **Repository:** <https://github.com/jacquesbh/memex-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": "jacquesbh-memex"
    }
  }
}
```

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