# Memex

> Use this tool when you need to retain and retrieve valuable conversation history beyond the standard 30-day limit. Memex solves the problem of lost conversations by providing full-text and semantic search capabilities, as well as automatic backups of all sessions. It accepts conversation data as input and outputs relevant search results, making it ideal for users who require long-term access to their conversation history.

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

## Description

Enables searching and retrieving Claude Code conversation history that would otherwise expire after 30 days. Supports full-text search, semantic search, and session management with automatic backup of all conversations.

## 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:** search
- **Updated:** 2026-05-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bh6kbihq3u)
- **Repository:** <https://github.com/vimo-ai/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": "vimo-ai-memex"
    }
  }
}
```

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