# memex

> Use this tool when you need to retain information across conversations or sessions, and require a persistent note storage system that enables saving, searching, and retrieving memories. Memex solves the problem of knowledge loss and forgetfulness in AI agents, providing a durable second brain for information recall. It accepts text-based inputs and outputs relevant memories, making it ideal for use cases where knowledge accumulation and retention are crucial.

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

## Description

Persistent note storage for AI agents. Memex lets your assistant save, search, and retrieve memories across sessions — acting as a durable second brain that outlives any single conversation.

## 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:** ai-ml
- **Updated:** 2026-05-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gpgdopfobx)
- **Repository:** <https://github.com/evan-moon/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": "evan-moon-memex"
    }
  }
}
```

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

---
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